Paper Title Sanity Check

From 2fc00cbc3fd976a69cbf9680a7b0c624929c3806 Mon Sep 17 00:00:00 2001 From: "jules@lens" Date: Thu, 10 Oct 2019 13:20:28 +0200 Subject: rebuild --- scraper/reports/paper_title_report.html | 2 +- scraper/reports/paper_title_report_no_location.html | 2 +- scraper/reports/report_coverage.html | 2 +- scraper/reports/report_index.html | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) (limited to 'scraper/reports') diff --git a/scraper/reports/paper_title_report.html b/scraper/reports/paper_title_report.html index 476f20aa..cb91168f 100644 --- a/scraper/reports/paper_title_report.html +++ b/scraper/reports/paper_title_report.html @@ -1 +1 @@ -Paper Title Sanity Check

Paper Title Sanity Check

key	name	our title	found title			address	s2 id
10k_US_adult_faces	10K US Adult Faces	The intrinsic memorability of face images	The intrinsic memorability of face photographs.	[pdf]	[s2]		8b2dd5c61b23ead5ae5508bb8ce808b5ea266730
3d_rma	3D-RMA	Automatic 3D Face Authentication	Automatic 3D face authentication	[pdf]	[s2]		2160788824c4c29ffe213b2cbeb3f52972d73f37
3dddb_unconstrained	3D Dynamic	A 3D Dynamic Database for Unconstrained Face Recognition	A 3D Dynamic Database for Unconstrained Face Recognition	[pdf]	[s2]		4d4bb462c9f1d4e4ab1e4aa6a75cc0bc71b38461
3dpes	3DPeS	3DPes: 3D People Dataset for Surveillance and Forensics	3DPeS: 3D people dataset for surveillance and forensics	[pdf]	[s2]		2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e
4dfab	4DFAB	4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications	4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications	[pdf]	[s2]		a40f9bfd3c45658ee8da70e1f2dfbe1f0c744d43
fpoq	50 People One Question	Merging Pose Estimates Across Space and Time	Merging Pose Estimates Across Space and Time	[pdf]	[s2]		5753b2b5e442eaa3be066daa4a2ca8d8a0bb1725
adience	Adience	Age and Gender Estimation of Unfiltered Faces	Age and Gender Estimation of Unfiltered Faces	[pdf]	[s2]		1be498d4bbc30c3bfd0029114c784bc2114d67c0
afad	AFAD	Ordinal Regression with a Multiple Output CNN for Age Estimation	Ordinal Regression with Multiple Output CNN for Age Estimation	[pdf]	[s2]		6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c
afew_va	AFEW-VA	AFEW-VA database for valence and arousal estimation in-the-wild	AFEW-VA database for valence and arousal estimation in-the-wild	[pdf]	[s2]		2624d84503bc2f8e190e061c5480b6aa4d89277a
afew_va	AFEW-VA	Collecting Large, Richly Annotated Facial-Expression Databases from Movies	Collecting Large, Richly Annotated Facial-Expression Databases from Movies	[pdf]	[s2]	Australian National University	b1f4423c227fa37b9680787be38857069247a307
affectnet	AffectNet	AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild	AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild	[pdf]	[s2]		758d7e1be64cc668c59ef33ba8882c8597406e53
aflw	AFLW	Annotated Facial Landmarks in the Wild: A Large-scale, Real-world Database for Facial Landmark Localization	Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization	[pdf]	[s2]		a74251efa970b92925b89eeef50a5e37d9281ad0
afw	AFW	Face detection, pose estimation and landmark localization in the wild	Face detection, pose estimation, and landmark localization in the wild	[pdf]	[s2]		0e986f51fe45b00633de9fd0c94d082d2be51406
agedb	AgeDB	AgeDB: the first manually collected, in-the-wild age database	AgeDB: The First Manually Collected, In-the-Wild Age Database	[pdf]	[s2]		d818568838433a6d6831adde49a58cef05e0c89f
alert_airport	ALERT Airport	A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets	A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets	[pdf]	[s2]		6403117f9c005ae81f1e8e6d1302f4a045e3d99d
am_fed	AM-FED	Affectiva MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected “In the Wild”	Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected "In-the-Wild"	[pdf]	[s2]		47aeb3b82f54b5ae8142b4bdda7b614433e69b9a
apis	APiS1.0	Pedestrian Attribute Classification in Surveillance: Database and Evaluation	Pedestrian Attribute Classification in Surveillance: Database and Evaluation	[pdf]	[s2]		488e475eeb3bb39a145f23ede197cd3620f1d98a
appa_real	APPA-REAL	Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database	Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database	[pdf]	[s2]		633c851ebf625ad7abdda2324e9de093cf623141
appa_real	APPA-REAL	From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation	From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation	[pdf]	[s2]		7b92d1e53cc87f7a4256695de590098a2f30261e
ar_facedb	AR Face	The AR Face Database	The AR face database	[pdf]	[s2]		6d96f946aaabc734af7fe3fc4454cf8547fcd5ed
awe_ears	AWE Ears	Ear Recognition: More Than a Survey	Ear Recognition: More Than a Survey	[pdf]	[s2]		84fe5b4ac805af63206012d29523a1e033bc827e
b3d_ac	B3D(AC)	A 3-D Audio-Visual Corpus of Affective Communication	A 3-D Audio-Visual Corpus of Affective Communication	[pdf]	[s2]		d08cc366a4a0192a01e9a7495af1eb5d9f9e73ae
bbc_pose	BBC Pose	Automatic and Efficient Human Pose Estimation for Sign Language Videos	Automatic and Efficient Human Pose Estimation for Sign Language Videos	[pdf]	[s2]		213a579af9e4f57f071b884aa872651372b661fd
bfm	BFM	A 3D Face Model for Pose and Illumination Invariant Face Recognition	A 3D Face Model for Pose and Illumination Invariant Face Recognition	[pdf]	[s2]		639937b3a1b8bded3f7e9a40e85bd3770016cf3c
bio_id	BioID Face	Robust Face Detection Using the Hausdorff Distance	Robust Face Detection Using the Hausdorff Distance	[pdf]	[s2]		4053e3423fb70ad9140ca89351df49675197196a
bosphorus	The Bosphorus	Bosphorus Database for 3D Face Analysis	Bosphorus Database for 3D Face Analysis	[pdf]	[s2]		2acf7e58f0a526b957be2099c10aab693f795973
bp4d_plus	BP4D+	Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis	Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis	[pdf]	[s2]		53ae38a6bb2b21b42bac4f0c4c8ed1f9fa02f9d4
bp4d_spontanous	BP4D-Spontanous	A high resolution spontaneous 3D dynamic facial expression database	A high-resolution spontaneous 3D dynamic facial expression database	[pdf]	[s2]	SUNY Binghamton	b91f54e1581fbbf60392364323d00a0cd43e493c
bpad	BPAD	Describing People: A Poselet-Based Approach to Attribute Classification	Describing people: A poselet-based approach to attribute classification	[pdf]	[s2]		7808937b46acad36e43c30ae4e9f3fd57462853d
brainwash	Brainwash	End-to-End People Detection in Crowded Scenes	End-to-End People Detection in Crowded Scenes	[pdf]	[s2]		1bd1645a629f1b612960ab9bba276afd4cf7c666
bu_3dfe	BU-3DFE	A 3D Facial Expression Database For Facial Behavior Research	A 3D facial expression database for facial behavior research	[pdf]	[s2]		cc589c499dcf323fe4a143bbef0074c3e31f9b60
cacd		Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval	Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval	[pdf]	[s2]		c44c84540db1c38ace232ef34b03bda1c81ba039
cafe	#N/A	The Child Affective Facial Expression (CAFE) Set: Validity and reliability from untrained adults	The Child Affective Facial Expression (CAFE) set: validity and reliability from untrained adults	[pdf]	[s2]		20388099cc415c772926e47bcbbe554e133343d1
caltech_10k_web_faces	Caltech 10K Web Faces	Pruning Training Sets for Learning of Object Categories	Pruning training sets for learning of object categories	[pdf]	[s2]		636b8ffc09b1b23ff714ac8350bb35635e49fa3c
caltech_crp	Caltech CRP	Fine-grained classification of pedestrians in video: Benchmark and state of the art	Fine-grained classification of pedestrians in video: Benchmark and state of the art	[pdf]	[s2]		060820f110a72cbf02c14a6d1085bd6e1d994f6a
caltech_pedestrians	Caltech Pedestrians	Pedestrian Detection: A Benchmark	Pedestrian detection: A benchmark	[pdf]	[s2]		1dc35905a1deff8bc74688f2d7e2f48fd2273275
caltech_pedestrians	Caltech Pedestrians	Pedestrian Detection: An Evaluation of the State of the Art	Pedestrian Detection: An Evaluation of the State of the Art	[pdf]	[s2]	California Institute of Technology	f72f6a45ee240cc99296a287ff725aaa7e7ebb35
cas_peal	CAS-PEAL	The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations	The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations	[pdf]	[s2]		2485c98aa44131d1a2f7d1355b1e372f2bb148ad
casablanca	Casablanca	Context-aware {CNNs} for person head detection	Context-Aware CNNs for Person Head Detection	[pdf]	[s2]		0ceda9dae8b9f322df65ca2ef02caca9758aec6f
casia_webface	CASIA Webface	Learning Face Representation from Scratch	Learning Face Representation from Scratch	[pdf]	[s2]		853bd61bc48a431b9b1c7cab10c603830c488e39
celeba	CelebA	Deep Learning Face Attributes in the Wild	Deep Learning Face Attributes in the Wild	[pdf]	[s2]		6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4
cfd	CFD	The Chicago face database: A free stimulus set of faces and norming data	The Chicago face database: A free stimulus set of faces and norming data.	[pdf]	[s2]		4df3143922bcdf7db78eb91e6b5359d6ada004d2
chalearn	ChaLearn	ChaLearn Looking at People: A Review of Events and Resources	ChaLearn looking at people: A review of events and resources	[pdf]	[s2]		8d5998cd984e7cce307da7d46f155f9db99c6590
chokepoint	ChokePoint	Patch-based Probabilistic Image Quality Assessment for Face Selection and Improved Video-based Face Recognition	Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition	[pdf]	[s2]		0486214fb58ee9a04edfe7d6a74c6d0f661a7668
clothing_co_parsing	CCP	Clothing Co-Parsing by Joint Image Segmentation and Labeling	Clothing Co-parsing by Joint Image Segmentation and Labeling	[pdf]	[s2]		2bf8541199728262f78d4dced6fb91479b39b738
cmdp	CMDP	Distance Estimation of an Unknown Person from a Portrait	Distance Estimation of an Unknown Person from a Portrait	[pdf]	[s2]		56ae6d94fc6097ec4ca861f0daa87941d1c10b70
cmu_pie	CMU PIE	The CMU Pose, Illumination, and Expression Database	The CMU Pose, Illumination, and Expression (PIE) Database	[pdf]	[s2]		4d423acc78273b75134e2afd1777ba6d3a398973
coco	COCO	Microsoft COCO: Common Objects in Context	Microsoft COCO: Common Objects in Context	[pdf]	[s2]		5e0f8c355a37a5a89351c02f174e7a5ddcb98683
coco_action	COCO-a	Describing Common Human Visual Actions in Images	Describing Common Human Visual Actions in Images	[pdf]	[s2]		4946ba10a4d5a7d0a38372f23e6622bd347ae273
coco_qa	COCO QA	Exploring Models and Data for Image Question Answering	Exploring Models and Data for Image Question Answering	[pdf]	[s2]		35b0331dfcd2897abd5749b49ff5e2b8ba0f7a62
cofw	COFW	Robust face landmark estimation under occlusion	Robust Face Landmark Estimation under Occlusion	[pdf]	[s2]		2724ba85ec4a66de18da33925e537f3902f21249
cohn_kanade	CK	Comprehensive Database for Facial Expression Analysis	Comprehensive Database for Facial Expression Analysis	[pdf]	[s2]		23fc83c8cfff14a16df7ca497661264fc54ed746
cohn_kanade_plus	CK+	The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression	The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression	[pdf]	[s2]	University of Pittsburgh	4d9a02d080636e9666c4d1cc438b9893391ec6c7
columbia_gaze	Columbia Gaze	Gaze Locking: Passive Eye Contact Detection for Human–Object Interaction	Gaze locking: passive eye contact detection for human-object interaction	[pdf]	[s2]	Columbia University	06f02199690961ba52997cde1527e714d2b3bf8f
complex_activities	Ongoing Complex Activities	Recognition of Ongoing Complex Activities by Sequence Prediction over a Hierarchical Label Space	Recognition of ongoing complex activities by sequence prediction over a hierarchical label space	[pdf]	[s2]		65355cbb581a219bd7461d48b3afd115263ea760
cuhk_train_station	CUHK Train Station Dataset	Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents	Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents	[pdf]	[s2]	Chinese University of Hong Kong	5a4df9bef1872865f0b619ac3aacc97f49e4a035
cuhk_campus_03	CUHK03 Campus	Human Reidentification with Transferred Metric Learning	Human Reidentification with Transferred Metric Learning	[pdf]	[s2]		44484d2866f222bbb9b6b0870890f9eea1ffb2d0
cuhk_campus_03	CUHK03 Campus	Locally Aligned Feature Transforms across Views	Locally Aligned Feature Transforms across Views	[pdf]	[s2]		38b55d95189c5e69cf4ab45098a48fba407609b4
cuhk_campus_03	CUHK03 Campus	DeepReID: Deep Filter Pairing Neural Network for Person Re-identification	DeepReID: Deep Filter Pairing Neural Network for Person Re-identification	[pdf]	[s2]		6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3
cvc_01_barcelona	CVC-01	Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection	Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection	[pdf]	[s2]		57fe081950f21ca03b5b375ae3e84b399c015861
ufi	UFI	Unconstrained Facial Images: Database for Face Recognition under Real-world Conditions	Unconstrained Facial Images: Database for Face Recognition Under Real-World Conditions	[pdf]	[s2]		4b4106614c1d553365bad75d7866bff0de6056ed
d3dfacs	D3DFACS	A FACS Valid 3D Dynamic Action Unit database with Applications to 3D Dynamic Morphable Facial Modelling	A FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling	[pdf]	[s2]		070de852bc6eb275d7ca3a9cdde8f6be8795d1a3
dartmouth_children	Dartmouth Children	The Dartmouth Database of Children's Faces: Acquisition and validation of a new face stimulus set	The Dartmouth Database of Children’s Faces: Acquisition and Validation of a New Face Stimulus Set	[pdf]	[s2]		4e6ee936eb50dd032f7138702fa39b7c18ee8907
data_61	Data61 Pedestrian	A Multi-Modal Graphical Model for Scene Analysis	A Multi-modal Graphical Model for Scene Analysis	[pdf]	[s2]		563c940054e4b456661762c1ab858e6f730c3159
deep_fashion	DeepFashion	DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations	DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations	[pdf]	[s2]		18010284894ed0edcca74e5bf768ee2e15ef7841
deep_fashion	DeepFashion	Fashion Landmark Detection in the Wild	Fashion Landmark Detection in the Wild	[pdf]	[s2]		4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7
disfa	DISFA	1	DISFA: A Spontaneous Facial Action Intensity Database	[pdf]	[s2]	University of Denver	5a5f0287484f0d480fed1ce585dbf729586f0edc
distance_nighttime	Long Distance Heterogeneous Face	Nighttime Face Recognition at Long Distance: Cross-distance and Cross-spectral Matching	Nighttime Face Recognition at Long Distance: Cross-Distance and Cross-Spectral Matching	[pdf]	[s2]		4156b7e88f2e0ab0a7c095b9bab199ae2b23bd06
duke_mtmc	Duke MTMC	Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking	Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking	[pdf]	[s2]		27a2fad58dd8727e280f97036e0d2bc55ef5424c
duke_mtmc	Duke MTMC	Improving Person Re-identification by Attribute and Identity Learning	Improving Person Re-identification by Attribute and Identity Learning	[pdf]	[s2]		7f23a4bb0c777dd72cca7665a5f370ac7980217e
duke_mtmc	Duke MTMC	Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro	Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro	[pdf]	[s2]		15e1af79939dbf90790b03d8aa02477783fb1d0f
duke_mtmc	Duke MTMC	Tracking Social Groups Within and Across Cameras	Tracking Social Groups Within and Across Cameras	[pdf]	[s2]	Duke University	9e644b1e33dd9367be167eb9d832174004840400
duke_mtmc	Duke MTMC	Tracking Multiple People Online and in Real Time	Tracking Multiple People Online and in Real Time	[pdf]	[s2]		64e0690dd176a93de9d4328f6e31fc4afe1e7536
emotio_net	EmotioNet Database	EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild	EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild	[pdf]	[s2]		c900e0ad4c95948baaf0acd8449fde26f9b4952a
erce	ERCe	Video Synopsis by Heterogeneous Multi-source Correlation	Video Synopsis by Heterogeneous Multi-source Correlation	[pdf]	[s2]		b6c293f0420f7e945b5916ae44269fb53e139275
erce	ERCe	Learning from Multiple Sources for Video Summarisation	Learning from Multiple Sources for Video Summarisation	[pdf]	[s2]		287ddcb3db5562235d83aee318f318b8d5e43fb1
eth_andreas_ess	ETHZ Pedestrian	Depth and Appearance for Mobile Scene Analysis	Depth and Appearance for Mobile Scene Analysis	[pdf]	[s2]	ETH Zurich	13f06b08f371ba8b5d31c3e288b4deb61335b462
europersons	EuroCity Persons	The EuroCity Persons Dataset: A Novel Benchmark for Object Detection	The EuroCity Persons Dataset: A Novel Benchmark for Object Detection	[pdf]	[s2]		72a155c987816ae81c858fddbd6beab656d86220
expw	ExpW	From Facial Expression Recognition to Interpersonal Relation Prediction	From Facial Expression Recognition to Interpersonal Relation Prediction	[pdf]	[s2]		22f656d0f8426c84a33a267977f511f127bfd7f3
face_scrub	FaceScrub	A data-driven approach to cleaning large face datasets	A data-driven approach to cleaning large face datasets	[pdf]	[s2]		0d3bb75852098b25d90f31d2f48fd0cb4944702b
face_tracer	FaceTracer	FaceTracer: A Search Engine for Large Collections of Images with Faces	FaceTracer: A Search Engine for Large Collections of Images with Faces	[pdf]	[s2]		4c170a0dcc8de75587dae21ca508dab2f9343974
face_tracer	FaceTracer	Face Swapping: Automatically Replacing Faces in Photographs	Face swapping: automatically replacing faces in photographs	[pdf]	[s2]		670637d0303a863c1548d5b19f705860a23e285c
facebook_100	Facebook100	Scaling Up Biologically-Inspired Computer Vision: A Case Study in Unconstrained Face Recognition on Facebook	Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook	[pdf]	[s2]	Harvard University	9c23859ec7313f2e756a3e85575735e0c52249f4
faceplace	Face Place	Recognizing disguised faces	Recognizing disguised faces	[pdf]	[s2]		25474c21613607f6bb7687a281d5f9d4ffa1f9f3
families_in_the_wild	FIW	Visual Kinship Recognition of Families in the Wild	Visual Kinship Recognition of Families in the Wild	[pdf]	[s2]	University of Massachusetts Dartmouth	dd65f71dac86e36eecbd3ed225d016c3336b4a13
fddb	FDDB	FDDB: A Benchmark for Face Detection in Unconstrained Settings	FDDB: A benchmark for face detection in unconstrained settings	[pdf]	[s2]		75da1df4ed319926c544eefe17ec8d720feef8c0
fei	FEI	Captura e Alinhamento de Imagens: Um Banco de Faces Brasileiro	A new ranking method for principal components analysis and its application to face image analysis	[pdf]	[s2]		8b56e33f33e582f3e473dba573a16b598ed9bcdc
feret	FERET	The FERET Verification Testing Protocol for Face Recognition Algorithms	The FERET Verification Testing Protocol for Face Recognition Algorithms	[pdf]	[s2]		0c4a139bb87c6743c7905b29a3cfec27a5130652
feret	FERET	The FERET Evaluation Methodology for Face-Recognition Algorithms	The FERET Evaluation Methodology for Face-Recognition Algorithms	[pdf]	[s2]		0f0fcf041559703998abf310e56f8a2f90ee6f21
feret	FERET	FERET ( Face Recognition Technology ) Recognition Algorithm Development and Test Results	FERET ( Face Recognition Technology ) Recognition Algorithm Development and Test Results	[pdf]	[s2]		31de9b3dd6106ce6eec9a35991b2b9083395fd0b
feret	FERET	The FERET database and evaluation procedure for face-recognition algorithms	The FERET database and evaluation procedure for face-recognition algorithms	[pdf]	[s2]		dc8b25e35a3acb812beb499844734081722319b4
ferplus	FER+	Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution	Training deep networks for facial expression recognition with crowd-sourced label distribution	[pdf]	[s2]		298cbc3dfbbb3a20af4eed97906650a4ea1c29e0
fia	CMU FiA	The CMU Face In Action (FIA) Database	The CMU Face In Action (FIA) Database	[pdf]	[s2]		47662d1a368daf70ba70ef2d59eb6209f98b675d
fiw_300	300-W	A semi-automatic methodology for facial landmark annotation	A Semi-automatic Methodology for Facial Landmark Annotation	[pdf]	[s2]		013909077ad843eb6df7a3e8e290cfd5575999d2
fiw_300	300-W	300 Faces in-the-Wild Challenge: The first facial landmark localization Challenge	300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge	[pdf]	[s2]		044d9a8c61383312cdafbcc44b9d00d650b21c70
fiw_300	300-W	300 faces In-the-wild challenge: Database and results	300 Faces In-The-Wild Challenge: database and results	[pdf]	[s2]		e4754afaa15b1b53e70743880484b8d0736990ff
frav3d	FRAV3D	MULTIMODAL 2D, 2.5D & 3D FACE VERIFICATION	Multimodal 2D, 2.5D & 3D Face Verification	[pdf]	[s2]	Universidad Rey Juan Carlos, Spain	2b926b3586399d028b46315d7d9fb9d879e4f79c
frgc	FRGC	Overview of the Face Recognition Grand Challenge	Overview of the face recognition grand challenge	[pdf]	[s2]	NIST	18ae7c9a4bbc832b8b14bc4122070d7939f5e00e
gallagher	Gallagher	Clothing Cosegmentation for Recognizing People	Clothing cosegmentation for recognizing people	[pdf]	[s2]	Carnegie Mellon University	22ad2c8c0f4d6aa4328b38d894b814ec22579761
geofaces	GeoFaces	FACE2GPS: Estimating geographic location from facial features	Exploring the geo-dependence of human face appearance	[pdf]	[s2]		2cd7821fcf5fae53a185624f7eeda007434ae037
geofaces	GeoFaces	Large-scale geo-facial image analysis	Large-scale geo-facial image analysis	[pdf]	[s2]		4af89578ac237278be310f7660a408b03f12d603
geofaces	GeoFaces	Exploring the Geo-Dependence of Human Face Appearance	Exploring the geo-dependence of human face appearance	[pdf]	[s2]		2cd7821fcf5fae53a185624f7eeda007434ae037
geofaces	GeoFaces	GeoFaceExplorer: Exploring the Geo-Dependence of Facial Attributes	GeoFaceExplorer: exploring the geo-dependence of facial attributes	[pdf]	[s2]		17b46e2dad927836c689d6787ddb3387c6159ece
georgia_tech_face_database	Georgia Tech Face	Maximum likelihood training of the embedded HMM for face detection and recognition	Maximum Likelihood Training of the Embedded HMM for Face Detection and Recognition	[pdf]	[s2]		3dc3f0b64ef80f573e3a5f96e456e52ee980b877
gfw	Grouping Face in the Wild	Merge or Not? Learning to Group Faces via Imitation Learning	Merge or Not? Learning to Group Faces via Imitation Learning	[pdf]	[s2]		e58dd160a76349d46f881bd6ddbc2921f08d1050
graz	Graz Pedestrian	Weak Hypotheses and Boosting for Generic Object Detection and Recognition	Weak Hypotheses and Boosting for Generic Object Detection and Recognition	[pdf]	[s2]		0c91808994a250d7be332400a534a9291ca3b60e
graz	Graz Pedestrian	Object Recognition Using Segmentation for Feature Detection	Object recognition using segmentation for feature detection	[pdf]	[s2]	Inst. of Comput. Sci., Univ. of Leoben, Austria	12ad3b5bbbf407f8e54ea692c07633d1a867c566
graz	Graz Pedestrian	Generic Object Recognition with Boosting	Generic object recognition with boosting	[pdf]	[s2]	TU Graz	2eed184680edcdec8a3b605ad1a3ba8e8f7cc2e9
h3d	H3D	Poselets: Body Part Detectors Trained Using 3D Human Pose Annotations	Poselets: Body part detectors trained using 3D human pose annotations	[pdf]	[s2]		2830fb5282de23d7784b4b4bc37065d27839a412
hda_plus	HDA+	The HDA+ data set for research on fully automated re-identification systems	The HDA+ Data Set for Research on Fully Automated Re-identification Systems	[pdf]	[s2]		8f02ec0be21461fbcedf51d864f944cfc42c875f
hda_plus	HDA+	A Multi-camera video data set for research on High-Definition surveillance	HDA dataset-DRAFT 1 A Multi-camera video data set for research on High-Definition surveillance	[pdf]	[s2]		bd88bb2e4f351352d88ee7375af834360e223498
helen	Helen	Interactive Facial Feature Localization	Interactive Facial Feature Localization	[pdf]	[s2]		95f12d27c3b4914e0668a268360948bce92f7db3
hi4d_adsip	Hi4D-ADSIP	Hi4D-ADSIP 3-D dynamic facial articulation database	Hi4D-ADSIP 3-D dynamic facial articulation database	[pdf]	[s2]		a8d0b149c2eadaa02204d3e4356fbc8eccf3b315
hipsterwars	Hipsterwars	Hipster Wars: Discovering Elements of Fashion Styles	Hipster Wars: Discovering Elements of Fashion Styles	[pdf]	[s2]		04c2cda00e5536f4b1508cbd80041e9552880e67
hollywood_headset	HollywoodHeads	Context-aware CNNs for person head detection	Context-Aware CNNs for Person Head Detection	[pdf]	[s2]		0ceda9dae8b9f322df65ca2ef02caca9758aec6f
hrt_transgender	HRT Transgender	Is the Eye Region More Reliable Than the Face? A Preliminary Study of Face-based Recognition on a Transgender Dataset	Is the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset	[pdf]	[s2]		137aa2f891d474fce1e7a1d1e9b3aefe21e22b34
hrt_transgender	HRT Transgender	Investigating the Periocular-Based Face Recognition Across Gender Transformation	Investigating the Periocular-Based Face Recognition Across Gender Transformation	[pdf]	[s2]	University of North Carolina at Wilmington	2f43b614607163abf41dfe5d17ef6749a1b61304
ibm_dif	IBM Diversity in Faces	Diversity in Faces	Facial Coding Scheme Reference 1 Craniofacial Distances	[pdf]	[s2]		0ab7cff2ccda7269b73ff6efd9d37e1318f7db25
ifad	IFAD	Indian Face Age Database: A Database for Face Recognition with Age Variation	Indian Face Age Database: A Database for Face Recognition with Age Variation	[pdf]	[s2]		55c40cbcf49a0225e72d911d762c27bb1c2d14aa
ifdb	IFDB	Iranian Face Database and Evaluation with a New Detection Algorithm	Iranian Face Database and Evaluation with a New Detection Algorithm	[pdf]	[s2]		066d71fcd997033dce4ca58df924397dfe0b5fd1
ifdb	IFDB	Iranian Face Database with age, pose and expression	Iranian Face Database with age, pose and expression	[pdf]	[s2]	Islamic Azad University	b71d1aa90dcbe3638888725314c0d56640c1fef1
iit_dehli_ear	IIT Dehli Ear	Automated human identification using ear imaging	Automated Human Identification Using Ear Imaging	[pdf]	[s2]		faf40ce28857aedf183e193486f5b4b0a8c478a2
ijb_b	IJB-B	IARPA Janus Benchmark-B Face Dataset	IARPA Janus Benchmark-B Face Dataset	[pdf]	[s2]		0cb2dd5f178e3a297a0c33068961018659d0f443
ijb_a	IJB-A	Pushing the Frontiers of Unconstrained Face Detection and Recognition: IARPA Janus Benchmark A	Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A	[pdf]	[s2]		140c95e53c619eac594d70f6369f518adfea12ef
ijb_c	IJB-C	IARPA Janus Benchmark C	IARPA Janus Benchmark - C: Face Dataset and Protocol	[pdf]	[s2]		57178b36c21fd7f4529ac6748614bb3374714e91
ilids_mcts	i-LIDS Multiple-Camera	Imagery Library for Intelligent Detection Systems: The i-LIDS User Guide	Imagery Library for Intelligent Detection Systems (i-LIDS); A Standard for Testing Video Based Detection Systems	[pdf]	[s2]		0297448f3ed948e136bb06ceff10eccb34e5bb77
ilids_mcts_vid	iLIDS-VID	Person Re-Identication by Video Ranking	Person Re-identification by Video Ranking	[pdf]	[s2]		98bb029afe2a1239c3fdab517323066f0957b81b
images_of_groups	Images of Groups	Understanding Groups of Images of People	Understanding images of groups of people	[pdf]	[s2]	Carnegie Mellon University	21d9d0deed16f0ad62a4865e9acf0686f4f15492
imdb_face	IMDb Face	The Devil of Face Recognition is in the Noise	The Devil of Face Recognition is in the Noise	[pdf]	[s2]		9e31e77f9543ab42474ba4e9330676e18c242e72
imdb_wiki	IMDB-Wiki	Deep expectation of real and apparent age from a single image without facial landmarks	Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks	[pdf]	[s2]		10195a163ab6348eef37213a46f60a3d87f289c5
imdb_wiki	IMDB-Wiki	DEX: Deep EXpectation of apparent age from a single image	DEX: Deep EXpectation of Apparent Age from a Single Image	[pdf]	[s2]		8355d095d3534ef511a9af68a3b2893339e3f96b
imfdb	IMFDB	Indian Movie Face Database: A Benchmark for Face Recognition Under Wide Variations	Indian Movie Face Database: A benchmark for face recognition under wide variations	[pdf]	[s2]	BVBCET, Hubli, India	ca3e88d87e1344d076c964ea89d91a75c417f5ee
immediacy	Immediacy	Multi-task Recurrent Neural Network for Immediacy Prediction	Multi-task Recurrent Neural Network for Immediacy Prediction	[pdf]	[s2]		1e3df3ca8feab0b36fd293fe689f93bb2aaac591
imsitu	imSitu	Situation Recognition: Visual Semantic Role Labeling for Image Understanding	Situation Recognition: Visual Semantic Role Labeling for Image Understanding	[pdf]	[s2]		51eba481dac6b229a7490f650dff7b17ce05df73
inria_person	INRIA Pedestrian	Histograms of Oriented Gradients for Human Detection	Histograms of oriented gradients for human detection	[pdf]	[s2]	INRIA Rhone-Alps, Montbonnot, France	10d6b12fa07c7c8d6c8c3f42c7f1c061c131d4c5
jaffe	JAFFE	Coding Facial Expressions with Gabor Wavelets	Coding Facial Expressions with Gabor Wavelets	[pdf]	[s2]		45c31cde87258414f33412b3b12fc5bec7cb3ba9
jiku_mobile	Jiku Mobile Video Dataset	The Jiku Mobile Video Dataset	The jiku mobile video dataset	[pdf]	[s2]	National University of Singapore	d178cde92ab3dc0dd2ebee5a76a33d556c39448b
jpl_pose	JPL-Interaction dataset	First-Person Activity Recognition: What Are They Doing to Me?	First-Person Activity Recognition: What Are They Doing to Me?	[pdf]	[s2]		1aad2da473888cb7ebc1bfaa15bfa0f1502ce005
kin_face	UB KinFace	Understanding Kin Relationships in a Photo	Understanding Kin Relationships in a Photo	[pdf]	[s2]		08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7
kin_face	UB KinFace	Genealogical Face Recognition based on UB KinFace Database	Genealogical face recognition based on UB KinFace database	[pdf]	[s2]	SUNY Buffalo	2eb84aaba316b095d4bb51da1a3e4365bbf9ab1d
kin_face	UB KinFace	Kinship Verification through Transfer Learning	Kinship Verification through Transfer Learning	[pdf]	[s2]		4793f11fbca4a7dba898b9fff68f70d868e2497c
kinectface	KinectFaceDB	KinectFaceDB: A Kinect Database for Face Recognition	KinectFaceDB: A Kinect Database for Face Recognition	[pdf]	[s2]	University of North Carolina at Chapel Hill	0b440695c822a8e35184fb2f60dcdaa8a6de84ae
kitti	KITTI	Vision meets Robotics: The KITTI Dataset	Vision meets robotics: The KITTI dataset	[pdf]	[s2]		026e3363b7f76b51cc711886597a44d5f1fd1de2
lag	LAG	Large Age-Gap Face Verification by Feature Injection in Deep Networks	Large age-gap face verification by feature injection in deep networks	[pdf]	[s2]		0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e
laofiw	LAOFIW	Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings	Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings	[pdf]	[s2]		4eab317b5ac436a949849ed286baa3de2a541eef
large_scale_person_search	Large Scale Person Search	End-to-End Deep Learning for Person Search	End-to-End Deep Learning for Person Search	[pdf]	[s2]		2161f6b7ee3c0acc81603b01dc0df689683577b9
leeds_sports_pose	Leeds Sports Pose	Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation	Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation	[pdf]	[s2]		4b1d23d17476fcf78f4cbadf69fb130b1aa627c0
leeds_sports_pose_extended	Leeds Sports Pose Extended	Learning Effective Human Pose Estimation from Inaccurate Annotation	Learning effective human pose estimation from inaccurate annotation	[pdf]	[s2]	University of Leeds	4e4746094bf60ee83e40d8597a6191e463b57f76
lfpw	LFPW	Localizing Parts of Faces Using a Consensus of Exemplars	Localizing Parts of Faces Using a Consensus of Exemplars	[pdf]	[s2]		140438a77a771a8fb656b39a78ff488066eb6b50
lfw	LFW	Labeled Faces in the Wild: Updates and New Reporting Procedures	Labeled Faces in the Wild : Updates and New Reporting Procedures	[pdf]	[s2]		2d3482dcff69c7417c7b933f22de606a0e8e42d4
lfw	LFW	Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments	Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments	[pdf]	[s2]		370b5757a5379b15e30d619e4d3fb9e8e13f3256
lfw	LFW	Labeled Faces in the Wild: A Survey	Labeled Faces in the Wild: A Survey	[pdf]	[s2]		7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22
lfw	LFW	Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics	Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics	[pdf]	[s2]		133f01aec1534604d184d56de866a4bd531dac87
m2vts	m2vts	The M2VTS Multimodal Face Database (Release 1.00)	The M2VTS Multimodal Face Database (Release 1.00)	[pdf]	[s2]	Laboratoire de Télécommunications et Télédétection, UCL, Louvain-La-Neuve, Belgium	8be57cdad86fdf8c8290df4ca3149592f3c46dd3
m2vtsdb_extended	xm2vtsdb	XM2VTSDB: The Extended M2VTS Database	XM2VTSDB : The extended M2VTS database	[pdf]	[s2]		b62628ac06bbac998a3ab825324a41a11bc3a988
mafa	MAsked FAces	Detecting Masked Faces in the Wild with LLE-CNNs	Detecting Masked Faces in the Wild with LLE-CNNs	[pdf]	[s2]		9cc8cf0c7d7fa7607659921b6ff657e17e135ecc
mafl	MAFL	Facial Landmark Detection by Deep Multi-task Learning	Facial Landmark Detection by Deep Multi-task Learning	[pdf]	[s2]		8a3c5507237957d013a0fe0f082cab7f757af6ee
mafl	MAFL	Learning Deep Representation for Face Alignment with Auxiliary Attributes	Learning Deep Representation for Face Alignment with Auxiliary Attributes	[pdf]	[s2]		a0fd85b3400c7b3e11122f44dc5870ae2de9009a
malf	MALF	Fine-grained Evaluation on Face Detection in the Wild.	Fine-grained evaluation on face detection in the wild	[pdf]	[s2]		45e616093a92e5f1e61a7c6037d5f637aa8964af
mapillary	Mapillary	The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes	The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes	[pdf]	[s2]		79828e6e9f137a583082b8b5a9dfce0c301989b8
market_1501	Market 1501	Improving Person Re-identification by Attribute and Identity Learning	Improving Person Re-identification by Attribute and Identity Learning	[pdf]	[s2]		7f23a4bb0c777dd72cca7665a5f370ac7980217e
market_1501	Market 1501	Scalable Person Re-identification: A Benchmark	Scalable Person Re-identification: A Benchmark	[pdf]	[s2]		4308bd8c28e37e2ed9a3fcfe74d5436cce34b410
market_1501	Market 1501	Orientation Driven Bag of Appearances for Person Re-identification	Orientation Driven Bag of Appearances for Person Re-identification	[pdf]	[s2]		a7fe834a0af614ce6b50dc093132b031dd9a856b
mars	MARS	MARS: A Video Benchmark for Large-Scale Person Re-identification	MARS: A Video Benchmark for Large-Scale Person Re-Identification	[pdf]	[s2]		c0387e788a52f10bf35d4d50659cfa515d89fbec
mcgill	McGill Real World	Hierarchical Temporal Graphical Model for Head Pose Estimation and Subsequent Attribute Classification in Real-World Videos	Hierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos	[pdf]	[s2]		2d45cfd838016a6e39f6b766ffe85acd649440c7
mcgill	McGill Real World	Robust Semi-automatic Head Pose Labeling for Real-World Face Video Sequences	Robust semi-automatic head pose labeling for real-world face video sequences	[pdf]	[s2]	McGill University	c570d1247e337f91e555c3be0e8c8a5aba539d9f
megaage	MegaAge	Quantifying Facial Age by Posterior of Age Comparisons	Quantifying Facial Age by Posterior of Age Comparisons	[pdf]	[s2]		8fee9b8c44626c4ac6b96ef183394bc4f36dc95f
megaface	MegaFace	Level Playing Field for Million Scale Face Recognition	Level Playing Field for Million Scale Face Recognition	[pdf]	[s2]		15af83373274f4b4c5976c5f384ea0a5c124b287
megaface	MegaFace	The MegaFace Benchmark: 1 Million Faces for Recognition at Scale	The MegaFace Benchmark: 1 Million Faces for Recognition at Scale	[pdf]	[s2]		96e0cfcd81cdeb8282e29ef9ec9962b125f379b0
mifs	MIFS	Spoofing Faces Using Makeup: An Investigative Study	Spoofing faces using makeup: An investigative study	[pdf]	[s2]	INRIA Méditerranée	23e824d1dfc33f3780dd18076284f07bd99f1c43
mit_cbcl	MIT CBCL	Component-based Face Recognition with 3D Morphable Models	Component-Based Face Recognition with 3D Morphable Models	[pdf]	[s2]		079a0a3bf5200994e1f972b1b9197bf2f90e87d4
miw	MIW	Automatic Facial Makeup Detection with Application in Face Recognition	Automatic facial makeup detection with application in face recognition	[pdf]	[s2]	West Virginia University	fcc6fe6007c322641796cb8792718641856a22a7
mmi_facial_expression	MMI Facial Expression Dataset	WEB-BASED DATABASE FOR FACIAL EXPRESSION ANALYSIS	Web-based database for facial expression analysis	[pdf]	[s2]		2a75f34663a60ab1b04a0049ed1d14335129e908
moments_in_time	Moments in Time	Moments in Time Dataset: one million videos for event understanding	Moments in Time Dataset: one million videos for event understanding	[pdf]	[s2]		41976ebc8ab76d9a6861487c97cc7fcbe3b6015f
morph	MORPH Commercial	MORPH: A Longitudinal Image Database of Normal Adult Age-Progression	MORPH: a longitudinal image database of normal adult age-progression	[pdf]	[s2]		9055b155cbabdce3b98e16e5ac9c0edf00f9552f
morph_nc	MORPH-II	MORPH: A Longitudinal Image Database of Normal Adult Age-Progression	MORPH: a longitudinal image database of normal adult age-progression	[pdf]	[s2]		9055b155cbabdce3b98e16e5ac9c0edf00f9552f
mot	MOT	Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics	Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics	[pdf]	[s2]		2258e01865367018ed6f4262c880df85b94959f8
mot	MOT	Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking	Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking	[pdf]	[s2]		27a2fad58dd8727e280f97036e0d2bc55ef5424c
mot	MOT	Learning to associate: HybridBoosted multi-target tracker for crowded scene	Learning to associate: HybridBoosted multi-target tracker for crowded scene	[pdf]	[s2]	University of Southern California	5981e6479c3fd4e31644db35d236bfb84ae46514
mpi_large	Large MPI Facial Expression	The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions	The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions	[pdf]	[s2]		ea050801199f98a1c7c1df6769f23f658299a3ae
mpi_small	Small MPI Facial Expression	The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions	The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions	[pdf]	[s2]		ea050801199f98a1c7c1df6769f23f658299a3ae
mpii_gaze	MPIIGaze	Appearance-based Gaze Estimation in the Wild	Appearance-based gaze estimation in the wild	[pdf]	[s2]		0df0d1adea39a5bef318b74faa37de7f3e00b452
mpii_human_pose	MPII Human Pose	2D Human Pose Estimation: New Benchmark and State of the Art Analysis	2D Human Pose Estimation: New Benchmark and State of the Art Analysis	[pdf]	[s2]		3325860c0c82a93b2eac654f5324dd6a776f609e
mr2	MR2	The MR2: A multi-racial mega-resolution database of facial stimuli	The MR2: A multi-racial, mega-resolution database of facial stimuli.	[pdf]	[s2]		578d4ad74818086bb64f182f72e2c8bd31e3d426
mrp_drone	MRP Drone	Investigating Open-World Person Re-identification Using a Drone	Investigating Open-World Person Re-identification Using a Drone	[pdf]	[s2]		ad01687649d95cd5b56d7399a9603c4b8e2217d7
msceleb	MsCeleb	MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition	MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition	[pdf]	[s2]		291265db88023e92bb8c8e6390438e5da148e8f5
msmt_17	MSMT17	Person Transfer GAN to Bridge Domain Gap for Person Re-Identification	Person Transfer GAN to Bridge Domain Gap for Person Re-identification	[pdf]	[s2]		a0cc5f73a37723a6dd465924143f1cb4976d0169
mtfl	MTFL	Facial Landmark Detection by Deep Multi-task Learning	Facial Landmark Detection by Deep Multi-task Learning	[pdf]	[s2]		8a3c5507237957d013a0fe0f082cab7f757af6ee
mtfl	MTFL	Learning Deep Representation for Face Alignment with Auxiliary Attributes	Learning Deep Representation for Face Alignment with Auxiliary Attributes	[pdf]	[s2]		a0fd85b3400c7b3e11122f44dc5870ae2de9009a
mug_faces	MUG Faces	The MUG Facial Expression Database	The MUG facial expression database	[pdf]	[s2]	Aristotle University of Thessaloniki	f1af714b92372c8e606485a3982eab2f16772ad8
multi_pie	MULTIPIE	Multi-PIE	The CMU Pose, Illumination, and Expression (PIE) Database	[pdf]	[s2]		4d423acc78273b75134e2afd1777ba6d3a398973
names_and_faces	News Dataset	Names and Faces	Names and faces in the news	[pdf]	[s2]		2fda164863a06a92d3a910b96eef927269aeb730
nd_2006	ND-2006	Using a Multi-Instance Enrollment Representation to Improve 3D Face Recognition	Using a Multi-Instance Enrollment Representation to Improve 3D Face Recognition	[pdf]	[s2]	University of Notre Dame	fd8168f1c50de85bac58a8d328df0a50248b16ae
nova_emotions	Novaemötions Dataset	Competitive affective gamming: Winning with a smile	Competitive affective gaming: winning with a smile	[pdf]	[s2]	Universidade NOVA de Lisboa, Caparica, Portugal	7f4040b482d16354d5938c1d1b926b544652bf5b
nova_emotions	Novaemötions Dataset	Crowdsourcing facial expressions for affective-interaction	Crowdsourcing facial expressions for affective-interaction	[pdf]	[s2]		c06b13d0ec3f5c43e2782cd22542588e233733c3
orl	ORL	Parameterisation of a Stochastic Model for Human Face Identification	Parameterisation of a stochastic model for human face identification	[pdf]	[s2]		55206f0b5f57ce17358999145506cd01e570358c
pa_100k	PA-100K	HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis	HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis	[pdf]	[s2]		f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44
penn_fudan	Penn Fudan	Object Detection Combining Recognition and Segmentation	Object Detection Combining Recognition and Segmentation	[pdf]	[s2]		3394168ff0719b03ff65bcea35336a76b21fe5e4
peta	PETA	Pedestrian Attribute Recognition At Far Distance	Pedestrian Attribute Recognition At Far Distance	[pdf]	[s2]		2a4bbee0b4cf52d5aadbbc662164f7efba89566c
pets	PETS 2017	PETS 2017: Dataset and Challenge	PETS 2017: Dataset and Challenge	[pdf]	[s2]		22909dd19a0ec3b6065334cb5be5392cb24d839d
pilot_parliament	PPB	Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification	Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification	[pdf]	[s2]		18858cc936947fc96b5c06bbe3c6c2faa5614540
pipa	PIPA	Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues	Beyond frontal faces: Improving Person Recognition using multiple cues	[pdf]	[s2]		0a85bdff552615643dd74646ac881862a7c7072d
pku_reid	PKU-Reid	Swiss-System Based Cascade Ranking for Gait-based Person Re-identification	Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification	[pdf]	[s2]		f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f
pku_reid	PKU-Reid	Orientation driven bag of appearances for person re-identification	Orientation Driven Bag of Appearances for Person Re-identification	[pdf]	[s2]		a7fe834a0af614ce6b50dc093132b031dd9a856b
precarious	Precarious	Expecting the Unexpected: Training Detectors for Unusual Pedestrians With Adversarial Imposters	Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters	[pdf]	[s2]		9e5378e7b336c89735d3bb15cf67eff96f86d39a
prid	PRID	Person Re-Identification by Descriptive and Discriminative Classification	Person Re-identification by Descriptive and Discriminative Classification	[pdf]	[s2]		16c7c31a7553d99f1837fc6e88e77b5ccbb346b8
prw	PRW	Person Re-identification in the Wild	Person Re-identification in the Wild	[pdf]	[s2]		0b84f07af44f964817675ad961def8a51406dd2e
psu	PSU	Vision-based Analysis of Small Groups in Pedestrian Crowds	Vision-Based Analysis of Small Groups in Pedestrian Crowds	[pdf]	[s2]		066000d44d6691d27202896691f08b27117918b9
pubfig	PubFig	Attribute and Simile Classifiers for Face Verification	Attribute and simile classifiers for face verification	[pdf]	[s2]		759a3b3821d9f0e08e0b0a62c8b693230afc3f8d
pubfig_83	pubfig83	Scaling Up Biologically-Inspired Computer Vision: A Case Study in Unconstrained Face Recognition on Facebook	Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook	[pdf]	[s2]	Harvard University	9c23859ec7313f2e756a3e85575735e0c52249f4
put_face	Put Face	The PUT face database	The put face database	[pdf]	[s2]		ae0aee03d946efffdc7af2362a42d3750e7dd48a
qmul_grid	GRID	Time-delayed correlation analysis for multi-camera activity understanding	Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding	[pdf]	[s2]	Queen Mary University of London	2edb87494278ad11641b6cf7a3f8996de12b8e14
qmul_grid	GRID	Multi-Camera Activity Correlation Analysis	Multi-camera activity correlation analysis	[pdf]	[s2]	Queen Mary University of London	3b5b6d19d4733ab606c39c69a889f9e67967f151
qmul_surv_face	QMUL-SurvFace	Surveillance Face Recognition Challenge	Surveillance Face Recognition Challenge	[pdf]	[s2]		2306b2a8fba28539306052764a77a0d0f5d1236a
rafd	RaFD	Presentation and validation of the Radboud Faces Database	Presentation and validation of the Radboud Faces Database	[pdf]	[s2]		3765df816dc5a061bc261e190acc8bdd9d47bec0
raid	43	Consistent Re-identification in a Camera Network	Consistent Re-identification in a Camera Network	[pdf]	[s2]		09d78009687bec46e70efcf39d4612822e61cb8c
rap_pedestrian	RAP	A Richly Annotated Dataset for Pedestrian Attribute Recognition	A Richly Annotated Dataset for Pedestrian Attribute Recognition	[pdf]	[s2]		221c18238b829c12b911706947ab38fd017acef7
reseed	ReSEED	ReSEED: Social Event dEtection Dataset	ReSEED: social event dEtection dataset	[pdf]	[s2]		54983972aafc8e149259d913524581357b0f91c3
saivt	SAIVT SoftBio	A Database for Person Re-Identification in Multi-Camera Surveillance Networks	A Database for Person Re-Identification in Multi-Camera Surveillance Networks	[pdf]	[s2]		22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2b
sarc3d	Sarc3D	SARC3D: a new 3D body model for People Tracking and Re-identification	SARC3D: A New 3D Body Model for People Tracking and Re-identification	[pdf]	[s2]		e27ef52c641c2b5100a1b34fd0b819e84a31b4df
scface	SCface	SCface – surveillance cameras face database	SCface – surveillance cameras face database	[pdf]	[s2]		29a705a5fa76641e0d8963f1fdd67ee4c0d92d3d
scut_fbp	SCUT-FBP	SCUT-FBP: A Benchmark Dataset for Facial Beauty Perception	SCUT-FBP: A Benchmark Dataset for Facial Beauty Perception	[pdf]	[s2]		bd26dabab576adb6af30484183c9c9c8379bf2e0
scut_head	SCUT HEAD	Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture	Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture	[pdf]	[s2]		d3200d49a19a4a4e4e9745ee39649b65d80c834b
sdu_vid	SDU-VID	A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification	A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification	[pdf]	[s2]		3b4ec8af470948a72a6ed37a9fd226719a874ebc
sdu_vid	SDU-VID	Local descriptors encoded by Fisher vectors for person re-identification	Local Descriptors Encoded by Fisher Vectors for Person Re-identification	[pdf]	[s2]		46a01565e6afe7c074affb752e7069ee3bf2e4ef
sdu_vid	SDU-VID	Person reidentification by video ranking	Person Re-identification by Video Ranking	[pdf]	[s2]		98bb029afe2a1239c3fdab517323066f0957b81b
social_relation	Social Relation	Learning Social Relation Traits from Face Images	Learning Social Relation Traits from Face Images	[pdf]	[s2]		2a171f8d14b6b8735001a11c217af9587d095848
soton	SOTON HiD	On a Large Sequence-Based Human Gait Database	On a Large Sequence-Based Human Gait Database	[pdf]	[s2]		4f93cd09785c6e77bf4bc5a788e079df524c8d21
sports_videos_in_the_wild	SVW	Sports Videos in the Wild (SVW): A Video Dataset for Sports Analysis	Sports Videos in the Wild (SVW): A video dataset for sports analysis	[pdf]	[s2]		1a40092b493c6b8840257ab7f96051d1a4dbfeb2
stair_actions	STAIR Action	STAIR Actions: A Video Dataset of Everyday Home Actions	STAIR Actions: A Video Dataset of Everyday Home Actions	[pdf]	[s2]		d3f5a1848b0028d8ab51d0b0673732cad2e3c8c9
stanford_drone	Stanford Drone	Learning Social Etiquette: Human Trajectory Prediction In Crowded Scenes	Social LSTM: Human Trajectory Prediction in Crowded Spaces	[pdf]	[s2]		570f37ed63142312e6ccdf00ecc376341ec72b9f
stickmen_buffy	Buffy Stickmen	Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation	Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation	[pdf]	[s2]		4b1d23d17476fcf78f4cbadf69fb130b1aa627c0
stickmen_buffy	Buffy Stickmen	Learning to Parse Images of Articulated Objects	Learning to parse images of articulated bodies	[pdf]	[s2]		6dd0597f8513dc100cd0bc1b493768cde45098a9
stickmen_family	We Are Family Stickmen	We Are Family: Joint Pose Estimation of Multiple Persons	We Are Family: Joint Pose Estimation of Multiple Persons	[pdf]	[s2]		0dc11a37cadda92886c56a6fb5191ded62099c28
stickmen_pascal	Stickmen PASCAL	Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation	Learning to parse images of articulated bodies	[pdf]	[s2]		6dd0597f8513dc100cd0bc1b493768cde45098a9
stickmen_pascal	Stickmen PASCAL	Learning to Parse Images of Articulated Objects	Learning to parse images of articulated bodies	[pdf]	[s2]		6dd0597f8513dc100cd0bc1b493768cde45098a9
sun_attributes	SUN	The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding	The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding	[pdf]	[s2]		66e6f08873325d37e0ec20a4769ce881e04e964e
sun_attributes	SUN	SUN Attribute Database: Discovering, Annotating, and Recognizing Scene Attributes	SUN attribute database: Discovering, annotating, and recognizing scene attributes	[pdf]	[s2]	Brown University	833fa04463d90aab4a9fe2870d480f0b40df446e
svs	SVS	Pedestrian Attribute Classification in Surveillance: Database and Evaluation	Pedestrian Attribute Classification in Surveillance: Database and Evaluation	[pdf]	[s2]		488e475eeb3bb39a145f23ede197cd3620f1d98a
texas_3dfrd	Texas 3DFRD	Anthropometric 3D Face Recognition	Anthropometric 3D Face Recognition	[pdf]	[s2]		2ce2560cf59db59ce313bbeb004e8ce55c5ce928
texas_3dfrd	Texas 3DFRD	Texas 3D Face Recognition Database	Texas 3D Face Recognition Database	[pdf]	[s2]		4d58f886f5150b2d5e48fd1b5a49e09799bf895d
tiny_faces	TinyFace	Low-Resolution Face Recognition	Low-Resolution Face Recognition	[pdf]	[s2]		8990cdce3f917dad622e43e033db686b354d057c
tiny_images	#N/A	80 million tiny images: a large dataset for non-parametric object and scene recognition	80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition	[pdf]	[s2]		31b58ced31f22eab10bd3ee2d9174e7c14c27c01
tisi	Times Square Intersection	Video Synopsis by Heterogeneous Multi-source Correlation	Video Synopsis by Heterogeneous Multi-source Correlation	[pdf]	[s2]		b6c293f0420f7e945b5916ae44269fb53e139275
tisi	Times Square Intersection	Learning from Multiple Sources for Video Summarisation	Learning from Multiple Sources for Video Summarisation	[pdf]	[s2]		287ddcb3db5562235d83aee318f318b8d5e43fb1
oxford_town_centre	TownCentre	Stable Multi-Target Tracking in Real-Time Surveillance Video	Stable multi-target tracking in real-time surveillance video	[pdf]	[s2]		9361b784e73e9238d5cefbea5ac40d35d1e3103f
tud_brussels	TUD-Brussels	Multi-Cue Onboard Pedestrian Detection	Multi-cue onboard pedestrian detection	[pdf]	[s2]		6ad5a38df8dd4cdddd74f31996ce096d41219f72
tud_campus	TUD-Campus	People-Tracking-by-Detection and People-Detection-by-Tracking	People-tracking-by-detection and people-detection-by-tracking	[pdf]	[s2]		3316521a5527c7700af8ae6aef32a79a8b83672c
tud_crossing	TUD-Crossing	People-Tracking-by-Detection and People-Detection-by-Tracking	People-tracking-by-detection and people-detection-by-tracking	[pdf]	[s2]		3316521a5527c7700af8ae6aef32a79a8b83672c
tud_motionpairs	TUD-Motionparis	Multi-Cue Onboard Pedestrian Detection	Multi-cue onboard pedestrian detection	[pdf]	[s2]		6ad5a38df8dd4cdddd74f31996ce096d41219f72
tud_multiview	TUD-Multiview	Monocular 3D Pose Estimation and Tracking by Detection	Monocular 3D pose estimation and tracking by detection	[pdf]	[s2]	TU Darmstadt	436f798d1a4e54e5947c1e7d7375c31b2bdb4064
tud_pedestrian	TUD-Pedestrian	People-Tracking-by-Detection and People-Detection-by-Tracking	People-tracking-by-detection and people-detection-by-tracking	[pdf]	[s2]		3316521a5527c7700af8ae6aef32a79a8b83672c
tud_stadtmitte	TUD-Stadtmitte	Monocular 3D Pose Estimation and Tracking by Detection	Monocular 3D pose estimation and tracking by detection	[pdf]	[s2]	TU Darmstadt	436f798d1a4e54e5947c1e7d7375c31b2bdb4064
tvhi	TVHI	High Five: Recognising human interactions in TV shows	High Five: Recognising human interactions in TV shows	[pdf]	[s2]		3cd40bfa1ff193a96bde0207e5140a399476466c
uccs	UCCS	Large scale unconstrained open set face database	Large scale unconstrained open set face database	[pdf]	[s2]		07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1
uccs	UCCS	Unconstrained Face Detection and Open-Set Face Recognition Challenge	Unconstrained Face Detection and Open-Set Face Recognition Challenge	[pdf]	[s2]		d4f1eb008eb80595bcfdac368e23ae9754e1e745
ucf_101	UCF101	UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild	UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild	[pdf]	[s2]		b5f2846a506fc417e7da43f6a7679146d99c5e96
ucf_crowd	UCF-CC-50	Multi-Source Multi-Scale Counting in Extremely Dense Crowd Images	Multi-source Multi-scale Counting in Extremely Dense Crowd Images	[pdf]	[s2]		32c801cb7fbeb742edfd94cccfca4934baec71da
ucf_selfie	UCF Selfie	How to Take a Good Selfie?	How to Take a Good Selfie?	[pdf]	[s2]		041d3eedf5e45ce5c5229f0181c5c576ed1fafd6
ufdd	UFDD	Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results	Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results	[pdf]	[s2]		3531332efe19be21e7401ba1f04570a142617236
umb	UMB	UMB-DB: A Database of Partially Occluded 3D Faces	UMB-DB: A database of partially occluded 3D faces	[pdf]	[s2]		16e8b0a1e8451d5f697b94c0c2b32a00abee1d52
umd_faces	UMD	UMDFaces: An Annotated Face Dataset for Training Deep Networks	UMDFaces: An annotated face dataset for training deep networks	[pdf]	[s2]		31b05f65405534a696a847dd19c621b7b8588263
umd_faces	UMD	The Do's and Don'ts for CNN-based Face Verification	The Do’s and Don’ts for CNN-Based Face Verification	[pdf]	[s2]		71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6
unbc_shoulder_pain	UNBC-McMaster Pain	PAINFUL DATA: The UNBC-McMaster Shoulder Pain Expression Archive Database	Painful data: The UNBC-McMaster shoulder pain expression archive database	[pdf]	[s2]	Carnegie Mellon University	56ffa7d906b08d02d6d5a12c7377a57e24ef3391
urban_tribes	Urban Tribes	From Bikers to Surfers: Visual Recognition of Urban Tribes	From Bikers to Surfers: Visual Recognition of Urban Tribes	[pdf]	[s2]		774cbb45968607a027ae4729077734db000a1ec5
used	USED Social Event Dataset	USED: A Large-scale Social Event Detection Dataset	USED: a large-scale social event detection dataset	[pdf]	[s2]	University of Trento	8627f019882b024aef92e4eb9355c499c733e5b7
v47	V47	Re-identification of Pedestrians with Variable Occlusion and Scale	Re-identification of pedestrians with variable occlusion and scale	[pdf]	[s2]	Kingston University	922e0a51a3b8c67c4c6ac09a577ff674cbd28b34
vadana	VADANA	VADANA: A dense dataset for facial image analysis	VADANA: A dense dataset for facial image analysis	[pdf]	[s2]	University of Delaware	4563b46d42079242f06567b3f2e2f7a80cb3befe
vgg_celebs_in_places	CIP	Faces in Places: Compound Query Retrieval	Faces in Places: compound query retrieval	[pdf]	[s2]		7ebb153704706e457ab57b432793d2b6e5d12592
vgg_faces	VGG Face	Deep Face Recognition	Deep Face Recognition	[pdf]	[s2]		162ea969d1929ed180cc6de9f0bf116993ff6e06
vgg_faces2	VGG Face2	VGGFace2: A dataset for recognising faces across pose and age	VGGFace2: A Dataset for Recognising Faces across Pose and Age	[pdf]	[s2]		70c59dc3470ae867016f6ab0e008ac8ba03774a1
violent_flows	Violent Flows	Violent Flows: Real-Time Detection of Violent Crowd Behavior	Violent flows: Real-time detection of violent crowd behavior	[pdf]	[s2]	Open University of Israel	5194cbd51f9769ab25260446b4fa17204752e799
viper	VIPeR	Evaluating Appearance Models for Recognition, Reacquisition, and Tracking	Evaluating Appearance Models for Recognition, Reacquisition, and Tracking	[pdf]	[s2]		6273b3491e94ea4dd1ce42b791d77bdc96ee73a8
visual_phrases	Phrasal Recognition	Recognition using Visual Phrases	Recognition using visual phrases	[pdf]	[s2]	University of Illinois, Urbana-Champaign	e8de844fefd54541b71c9823416daa238be65546
vmu	VMU	Can Facial Cosmetics Affect the Matching Accuracy of Face Recognition Systems?	Can facial cosmetics affect the matching accuracy of face recognition systems?	[pdf]	[s2]	West Virginia University	37d6f0eb074d207b53885bd2eb78ccc8a04be597
voc	VOC	The PASCAL Visual Object Classes (VOC) Challenge	The Pascal Visual Object Classes (VOC) Challenge	[pdf]	[s2]		0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a
voxceleb2	VoxCeleb2	VoxCeleb2: Deep Speaker Recognition	VoxCeleb2: Deep Speaker Recognition.	[pdf]	[s2]		8875ae233bc074f5cd6c4ebba447b536a7e847a5
vqa	VQA	VQA: Visual Question Answering	VQA: Visual Question Answering	[pdf]	[s2]		01959ef569f74c286956024866c1d107099199f7
ward	WARD	Re-identify people in wide area camera network	Re-identify people in wide area camera network	[pdf]	[s2]	University of Udine	6f3c76b7c0bd8e1d122c6ea808a271fd4749c951
who_goes_there	WGT	Who Goes There? Approaches to Mapping Facial Appearance Diversity	Who goes there?: approaches to mapping facial appearance diversity	[pdf]	[s2]	University of Kentucky	9b9bf5e623cb8af7407d2d2d857bc3f1b531c182
wider	WIDER	Recognize Complex Events from Static Images by Fusing Deep Channels	Recognize complex events from static images by fusing deep channels	[pdf]	[s2]		356b431d4f7a2a0a38cf971c84568207dcdbf189
wider_attribute	WIDER Attribute	Human Attribute Recognition by Deep Hierarchical Contexts	Human Attribute Recognition by Deep Hierarchical Contexts	[pdf]	[s2]		44d23df380af207f5ac5b41459c722c87283e1eb
wider_face	WIDER FACE	WIDER FACE: A Face Detection Benchmark	WIDER FACE: A Face Detection Benchmark	[pdf]	[s2]		52d7eb0fbc3522434c13cc247549f74bb9609c5d
wildtrack	WildTrack	WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection	WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection	[pdf]	[s2]		36bccfb2ad847096bc76777e544f305813cd8f5b
wlfdb	WLFDB	WLFDB: Weakly Labeled Face Databases	WLFDB : Weakly Labeled Face Databases	[pdf]	[s2]		5ad4e9f947c1653c247d418f05dad758a3f9277b
yale_faces	YaleFaces	From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose	From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose	[pdf]	[s2]		18c72175ddbb7d5956d180b65a96005c100f6014
yale_faces	YaleFaces	Acquiring Linear Subspaces for Face Recognition under Variable Lighting	Acquiring linear subspaces for face recognition under variable lighting	[pdf]	[s2]		2ad0ee93d029e790ebb50574f403a09854b65b7e
yawdd	YawDD	YawDD: A Yawning Detection Dataset	YawDD: a yawning detection dataset	[pdf]	[s2]		a94cae786d515d3450d48267e12ca954aab791c4
yfcc_100m	YFCC100M	YFCC100M: The New Data in Multimedia Research	YFCC100M: the new data in multimedia research	[pdf]	[s2]		010f0f4929e6a6644fb01f0e43820f91d0fad292
york_3d	UOY 3D Face Database	Three-Dimensional Face Recognition: An Eigensurface Approach	Three-dimensional face recognition: an eigensurface approach	[pdf]	[s2]		19d1b811df60f86cbd5e04a094b07f32fff7a32a
youtube_celebrities	YouTube Celebrities	Face Tracking and Recognition with Visual Constraints in Real-World Videos	Face tracking and recognition with visual constraints in real-world videos	[pdf]	[s2]	Rutgers University	6204776d31359d129a582057c2d788a14f8aadeb
youtube_faces	YouTubeFaces	Face Recognition in Unconstrained Videos with Matched Background Similarity	Face recognition in unconstrained videos with matched background similarity	[pdf]	[s2]		560e0e58d0059259ddf86fcec1fa7975dee6a868
youtube_makeup	YMU	Can Facial Cosmetics Affect the Matching Accuracy of Face Recognition Systems?	Can facial cosmetics affect the matching accuracy of face recognition systems?	[pdf]	[s2]	West Virginia University	37d6f0eb074d207b53885bd2eb78ccc8a04be597
youtube_makeup	YMU	Automatic Facial Makeup Detection with Application in Face Recognition	Automatic facial makeup detection with application in face recognition	[pdf]	[s2]	West Virginia University	fcc6fe6007c322641796cb8792718641856a22a7
youtube_poses	YouTube Pose	Personalizing Human Video Pose Estimation	Personalizing Human Video Pose Estimation	[pdf]	[s2]		1c2802c2199b6d15ecefe7ba0c39bfe44363de38
flickr_faces	FFHQ	A Style-Based Generator Architecture for Generative Adversarial Networks	A Style-Based Generator Architecture for Generative Adversarial Networks	[pdf]	[s2]		ceb2ebef0b41e31c1a21b28c2734123900c005e2

\ No newline at end of file +Paper Title Sanity Check

Paper Title Sanity Check

key	name	our title	found title			address	s2 id
10k_US_adult_faces	10K US Adult Faces	The intrinsic memorability of face images	The intrinsic memorability of face photographs.	[pdf]	[s2]		8b2dd5c61b23ead5ae5508bb8ce808b5ea266730
3d_rma	3D-RMA	Automatic 3D Face Authentication	Automatic 3D face authentication	[pdf]	[s2]		2160788824c4c29ffe213b2cbeb3f52972d73f37
3dddb_unconstrained	3D Dynamic	A 3D Dynamic Database for Unconstrained Face Recognition	A 3D Dynamic Database for Unconstrained Face Recognition	[pdf]	[s2]		4d4bb462c9f1d4e4ab1e4aa6a75cc0bc71b38461
3dpes	3DPeS	3DPes: 3D People Dataset for Surveillance and Forensics	3DPeS: 3D people dataset for surveillance and forensics	[pdf]	[s2]		2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e
4dfab	4DFAB	4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications	4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications	[pdf]	[s2]		a40f9bfd3c45658ee8da70e1f2dfbe1f0c744d43
fpoq	50 People One Question	Merging Pose Estimates Across Space and Time	Merging Pose Estimates Across Space and Time	[pdf]	[s2]		5753b2b5e442eaa3be066daa4a2ca8d8a0bb1725
adience	Adience	Age and Gender Estimation of Unfiltered Faces	Age and Gender Estimation of Unfiltered Faces	[pdf]	[s2]		1be498d4bbc30c3bfd0029114c784bc2114d67c0
afad	AFAD	Ordinal Regression with a Multiple Output CNN for Age Estimation	Ordinal Regression with Multiple Output CNN for Age Estimation	[pdf]	[s2]		6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c
afew_va	AFEW-VA	AFEW-VA database for valence and arousal estimation in-the-wild	AFEW-VA database for valence and arousal estimation in-the-wild	[pdf]	[s2]		2624d84503bc2f8e190e061c5480b6aa4d89277a
afew_va	AFEW-VA	Collecting Large, Richly Annotated Facial-Expression Databases from Movies	Collecting Large, Richly Annotated Facial-Expression Databases from Movies	[pdf]	[s2]	Australian National University	b1f4423c227fa37b9680787be38857069247a307
affectnet	AffectNet	AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild	AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild	[pdf]	[s2]		758d7e1be64cc668c59ef33ba8882c8597406e53
aflw	AFLW	Annotated Facial Landmarks in the Wild: A Large-scale, Real-world Database for Facial Landmark Localization	Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization	[pdf]	[s2]		a74251efa970b92925b89eeef50a5e37d9281ad0
afw	AFW	Face detection, pose estimation and landmark localization in the wild	Face detection, pose estimation, and landmark localization in the wild	[pdf]	[s2]		0e986f51fe45b00633de9fd0c94d082d2be51406
agedb	AgeDB	AgeDB: the first manually collected, in-the-wild age database	AgeDB: The First Manually Collected, In-the-Wild Age Database	[pdf]	[s2]		d818568838433a6d6831adde49a58cef05e0c89f
alert_airport	ALERT Airport	A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets	A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets	[pdf]	[s2]		6403117f9c005ae81f1e8e6d1302f4a045e3d99d
am_fed	AM-FED	Affectiva MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected “In the Wild”	Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected "In-the-Wild"	[pdf]	[s2]		47aeb3b82f54b5ae8142b4bdda7b614433e69b9a
apis	APiS1.0	Pedestrian Attribute Classification in Surveillance: Database and Evaluation	Pedestrian Attribute Classification in Surveillance: Database and Evaluation	[pdf]	[s2]		488e475eeb3bb39a145f23ede197cd3620f1d98a
appa_real	APPA-REAL	Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database	Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database	[pdf]	[s2]		633c851ebf625ad7abdda2324e9de093cf623141
appa_real	APPA-REAL	From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation	From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation	[pdf]	[s2]		7b92d1e53cc87f7a4256695de590098a2f30261e
ar_facedb	AR Face	The AR Face Database	The AR face database	[pdf]	[s2]		6d96f946aaabc734af7fe3fc4454cf8547fcd5ed
awe_ears	AWE Ears	Ear Recognition: More Than a Survey	Ear Recognition: More Than a Survey	[pdf]	[s2]		84fe5b4ac805af63206012d29523a1e033bc827e
b3d_ac	B3D(AC)	A 3-D Audio-Visual Corpus of Affective Communication	A 3-D Audio-Visual Corpus of Affective Communication	[pdf]	[s2]		d08cc366a4a0192a01e9a7495af1eb5d9f9e73ae
bbc_pose	BBC Pose	Automatic and Efficient Human Pose Estimation for Sign Language Videos	Automatic and Efficient Human Pose Estimation for Sign Language Videos	[pdf]	[s2]		213a579af9e4f57f071b884aa872651372b661fd
bfm	BFM	A 3D Face Model for Pose and Illumination Invariant Face Recognition	A 3D Face Model for Pose and Illumination Invariant Face Recognition	[pdf]	[s2]		639937b3a1b8bded3f7e9a40e85bd3770016cf3c
bio_id	BioID Face	Robust Face Detection Using the Hausdorff Distance	Robust Face Detection Using the Hausdorff Distance	[pdf]	[s2]		4053e3423fb70ad9140ca89351df49675197196a
bosphorus	The Bosphorus	Bosphorus Database for 3D Face Analysis	Bosphorus Database for 3D Face Analysis	[pdf]	[s2]		2acf7e58f0a526b957be2099c10aab693f795973
bp4d_plus	BP4D+	Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis	Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis	[pdf]	[s2]		53ae38a6bb2b21b42bac4f0c4c8ed1f9fa02f9d4
bp4d_spontanous	BP4D-Spontanous	A high resolution spontaneous 3D dynamic facial expression database	A high-resolution spontaneous 3D dynamic facial expression database	[pdf]	[s2]	SUNY Binghamton	b91f54e1581fbbf60392364323d00a0cd43e493c
bpad	BPAD	Describing People: A Poselet-Based Approach to Attribute Classification	Describing people: A poselet-based approach to attribute classification	[pdf]	[s2]		7808937b46acad36e43c30ae4e9f3fd57462853d
brainwash	Brainwash	End-to-End People Detection in Crowded Scenes	End-to-End People Detection in Crowded Scenes	[pdf]	[s2]		1bd1645a629f1b612960ab9bba276afd4cf7c666
bu_3dfe	BU-3DFE	A 3D Facial Expression Database For Facial Behavior Research	A 3D facial expression database for facial behavior research	[pdf]	[s2]		cc589c499dcf323fe4a143bbef0074c3e31f9b60
cacd		Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval	Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval	[pdf]	[s2]		c44c84540db1c38ace232ef34b03bda1c81ba039
cafe	#N/A	The Child Affective Facial Expression (CAFE) Set: Validity and reliability from untrained adults	The Child Affective Facial Expression (CAFE) set: validity and reliability from untrained adults	[pdf]	[s2]		20388099cc415c772926e47bcbbe554e133343d1
caltech_10k_web_faces	Caltech 10K Web Faces	Pruning Training Sets for Learning of Object Categories	Pruning training sets for learning of object categories	[pdf]	[s2]		636b8ffc09b1b23ff714ac8350bb35635e49fa3c
caltech_crp	Caltech CRP	Fine-grained classification of pedestrians in video: Benchmark and state of the art	Fine-grained classification of pedestrians in video: Benchmark and state of the art	[pdf]	[s2]		060820f110a72cbf02c14a6d1085bd6e1d994f6a
caltech_pedestrians	Caltech Pedestrians	Pedestrian Detection: A Benchmark	Pedestrian detection: A benchmark	[pdf]	[s2]		1dc35905a1deff8bc74688f2d7e2f48fd2273275
caltech_pedestrians	Caltech Pedestrians	Pedestrian Detection: An Evaluation of the State of the Art	Pedestrian Detection: An Evaluation of the State of the Art	[pdf]	[s2]	California Institute of Technology	f72f6a45ee240cc99296a287ff725aaa7e7ebb35
cas_peal	CAS-PEAL	The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations	The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations	[pdf]	[s2]		2485c98aa44131d1a2f7d1355b1e372f2bb148ad
casablanca	Casablanca	Context-aware {CNNs} for person head detection	Context-Aware CNNs for Person Head Detection	[pdf]	[s2]		0ceda9dae8b9f322df65ca2ef02caca9758aec6f
casia_webface	CASIA Webface	Learning Face Representation from Scratch	Learning Face Representation from Scratch	[pdf]	[s2]		853bd61bc48a431b9b1c7cab10c603830c488e39
celeba	CelebA	Deep Learning Face Attributes in the Wild	Deep Learning Face Attributes in the Wild	[pdf]	[s2]		6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4
cfd	CFD	The Chicago face database: A free stimulus set of faces and norming data	The Chicago face database: A free stimulus set of faces and norming data.	[pdf]	[s2]		4df3143922bcdf7db78eb91e6b5359d6ada004d2
chalearn	ChaLearn	ChaLearn Looking at People: A Review of Events and Resources	ChaLearn looking at people: A review of events and resources	[pdf]	[s2]		8d5998cd984e7cce307da7d46f155f9db99c6590
chokepoint	ChokePoint	Patch-based Probabilistic Image Quality Assessment for Face Selection and Improved Video-based Face Recognition	Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition	[pdf]	[s2]		0486214fb58ee9a04edfe7d6a74c6d0f661a7668
clothing_co_parsing	CCP	Clothing Co-Parsing by Joint Image Segmentation and Labeling	Clothing Co-parsing by Joint Image Segmentation and Labeling	[pdf]	[s2]		2bf8541199728262f78d4dced6fb91479b39b738
cmdp	CMDP	Distance Estimation of an Unknown Person from a Portrait	Distance Estimation of an Unknown Person from a Portrait	[pdf]	[s2]		56ae6d94fc6097ec4ca861f0daa87941d1c10b70
cmu_pie	CMU PIE	The CMU Pose, Illumination, and Expression Database	The CMU Pose, Illumination, and Expression (PIE) Database	[pdf]	[s2]		4d423acc78273b75134e2afd1777ba6d3a398973
coco	COCO	Microsoft COCO: Common Objects in Context	Microsoft COCO: Common Objects in Context	[pdf]	[s2]		5e0f8c355a37a5a89351c02f174e7a5ddcb98683
coco_action	COCO-a	Describing Common Human Visual Actions in Images	Describing Common Human Visual Actions in Images	[pdf]	[s2]		4946ba10a4d5a7d0a38372f23e6622bd347ae273
coco_qa	COCO QA	Exploring Models and Data for Image Question Answering	Exploring Models and Data for Image Question Answering	[pdf]	[s2]		35b0331dfcd2897abd5749b49ff5e2b8ba0f7a62
cofw	COFW	Robust face landmark estimation under occlusion	Robust Face Landmark Estimation under Occlusion	[pdf]	[s2]		2724ba85ec4a66de18da33925e537f3902f21249
cohn_kanade	CK	Comprehensive Database for Facial Expression Analysis	Comprehensive Database for Facial Expression Analysis	[pdf]	[s2]		23fc83c8cfff14a16df7ca497661264fc54ed746
cohn_kanade_plus	CK+	The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression	The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression	[pdf]	[s2]	University of Pittsburgh	4d9a02d080636e9666c4d1cc438b9893391ec6c7
columbia_gaze	Columbia Gaze	Gaze Locking: Passive Eye Contact Detection for Human–Object Interaction	Gaze locking: passive eye contact detection for human-object interaction	[pdf]	[s2]	Columbia University	06f02199690961ba52997cde1527e714d2b3bf8f
complex_activities	Ongoing Complex Activities	Recognition of Ongoing Complex Activities by Sequence Prediction over a Hierarchical Label Space	Recognition of ongoing complex activities by sequence prediction over a hierarchical label space	[pdf]	[s2]		65355cbb581a219bd7461d48b3afd115263ea760
cuhk_train_station	CUHK Train Station Dataset	Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents	Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents	[pdf]	[s2]	Chinese University of Hong Kong	5a4df9bef1872865f0b619ac3aacc97f49e4a035
cuhk_campus_03	CUHK03 Campus	Human Reidentification with Transferred Metric Learning	Human Reidentification with Transferred Metric Learning	[pdf]	[s2]		44484d2866f222bbb9b6b0870890f9eea1ffb2d0
cuhk_campus_03	CUHK03 Campus	Locally Aligned Feature Transforms across Views	Locally Aligned Feature Transforms across Views	[pdf]	[s2]		38b55d95189c5e69cf4ab45098a48fba407609b4
cuhk_campus_03	CUHK03 Campus	DeepReID: Deep Filter Pairing Neural Network for Person Re-identification	DeepReID: Deep Filter Pairing Neural Network for Person Re-identification	[pdf]	[s2]		6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3
cvc_01_barcelona	CVC-01	Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection	Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection	[pdf]	[s2]		57fe081950f21ca03b5b375ae3e84b399c015861
ufi	UFI	Unconstrained Facial Images: Database for Face Recognition under Real-world Conditions	Unconstrained Facial Images: Database for Face Recognition Under Real-World Conditions	[pdf]	[s2]		4b4106614c1d553365bad75d7866bff0de6056ed
d3dfacs	D3DFACS	A FACS Valid 3D Dynamic Action Unit database with Applications to 3D Dynamic Morphable Facial Modelling	A FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling	[pdf]	[s2]		070de852bc6eb275d7ca3a9cdde8f6be8795d1a3
dartmouth_children	Dartmouth Children	The Dartmouth Database of Children's Faces: Acquisition and validation of a new face stimulus set	The Dartmouth Database of Children’s Faces: Acquisition and Validation of a New Face Stimulus Set	[pdf]	[s2]		4e6ee936eb50dd032f7138702fa39b7c18ee8907
data_61	Data61 Pedestrian	A Multi-Modal Graphical Model for Scene Analysis	A Multi-modal Graphical Model for Scene Analysis	[pdf]	[s2]		563c940054e4b456661762c1ab858e6f730c3159
deep_fashion	DeepFashion	DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations	DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations	[pdf]	[s2]		18010284894ed0edcca74e5bf768ee2e15ef7841
deep_fashion	DeepFashion	Fashion Landmark Detection in the Wild	Fashion Landmark Detection in the Wild	[pdf]	[s2]		4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7
disfa	DISFA	1	DISFA: A Spontaneous Facial Action Intensity Database	[pdf]	[s2]	University of Denver	5a5f0287484f0d480fed1ce585dbf729586f0edc
distance_nighttime	Long Distance Heterogeneous Face	Nighttime Face Recognition at Long Distance: Cross-distance and Cross-spectral Matching	Nighttime Face Recognition at Long Distance: Cross-Distance and Cross-Spectral Matching	[pdf]	[s2]		4156b7e88f2e0ab0a7c095b9bab199ae2b23bd06
duke_mtmc	Duke MTMC	Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking	Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking	[pdf]	[s2]		27a2fad58dd8727e280f97036e0d2bc55ef5424c
duke_mtmc	Duke MTMC	Improving Person Re-identification by Attribute and Identity Learning	Improving Person Re-identification by Attribute and Identity Learning	[pdf]	[s2]		7f23a4bb0c777dd72cca7665a5f370ac7980217e
duke_mtmc	Duke MTMC	Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro	Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro	[pdf]	[s2]		15e1af79939dbf90790b03d8aa02477783fb1d0f
duke_mtmc	Duke MTMC	Tracking Social Groups Within and Across Cameras	Tracking Social Groups Within and Across Cameras	[pdf]	[s2]	Duke University	9e644b1e33dd9367be167eb9d832174004840400
duke_mtmc	Duke MTMC	Tracking Multiple People Online and in Real Time	Tracking Multiple People Online and in Real Time	[pdf]	[s2]		64e0690dd176a93de9d4328f6e31fc4afe1e7536
emotio_net	EmotioNet Database	EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild	EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild	[pdf]	[s2]		c900e0ad4c95948baaf0acd8449fde26f9b4952a
erce	ERCe	Video Synopsis by Heterogeneous Multi-source Correlation	Video Synopsis by Heterogeneous Multi-source Correlation	[pdf]	[s2]		b6c293f0420f7e945b5916ae44269fb53e139275
erce	ERCe	Learning from Multiple Sources for Video Summarisation	Learning from Multiple Sources for Video Summarisation	[pdf]	[s2]		287ddcb3db5562235d83aee318f318b8d5e43fb1
eth_andreas_ess	ETHZ Pedestrian	Depth and Appearance for Mobile Scene Analysis	Depth and Appearance for Mobile Scene Analysis	[pdf]	[s2]	ETH Zurich	13f06b08f371ba8b5d31c3e288b4deb61335b462
europersons	EuroCity Persons	The EuroCity Persons Dataset: A Novel Benchmark for Object Detection	The EuroCity Persons Dataset: A Novel Benchmark for Object Detection	[pdf]	[s2]		72a155c987816ae81c858fddbd6beab656d86220
expw	ExpW	From Facial Expression Recognition to Interpersonal Relation Prediction	From Facial Expression Recognition to Interpersonal Relation Prediction	[pdf]	[s2]		22f656d0f8426c84a33a267977f511f127bfd7f3
face_scrub	FaceScrub	A data-driven approach to cleaning large face datasets	A data-driven approach to cleaning large face datasets	[pdf]	[s2]		0d3bb75852098b25d90f31d2f48fd0cb4944702b
face_tracer	FaceTracer	FaceTracer: A Search Engine for Large Collections of Images with Faces	FaceTracer: A Search Engine for Large Collections of Images with Faces	[pdf]	[s2]		4c170a0dcc8de75587dae21ca508dab2f9343974
face_tracer	FaceTracer	Face Swapping: Automatically Replacing Faces in Photographs	Face swapping: automatically replacing faces in photographs	[pdf]	[s2]		670637d0303a863c1548d5b19f705860a23e285c
facebook_100	Facebook100	Scaling Up Biologically-Inspired Computer Vision: A Case Study in Unconstrained Face Recognition on Facebook	Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook	[pdf]	[s2]	Harvard University	9c23859ec7313f2e756a3e85575735e0c52249f4
faceplace	Face Place	Recognizing disguised faces	Recognizing disguised faces	[pdf]	[s2]		25474c21613607f6bb7687a281d5f9d4ffa1f9f3
families_in_the_wild	FIW	Visual Kinship Recognition of Families in the Wild	Visual Kinship Recognition of Families in the Wild	[pdf]	[s2]	University of Massachusetts Dartmouth	dd65f71dac86e36eecbd3ed225d016c3336b4a13
fddb	FDDB	FDDB: A Benchmark for Face Detection in Unconstrained Settings	FDDB: A benchmark for face detection in unconstrained settings	[pdf]	[s2]		75da1df4ed319926c544eefe17ec8d720feef8c0
fei	FEI	Captura e Alinhamento de Imagens: Um Banco de Faces Brasileiro	A new ranking method for principal components analysis and its application to face image analysis	[pdf]	[s2]		8b56e33f33e582f3e473dba573a16b598ed9bcdc
feret	FERET	The FERET Verification Testing Protocol for Face Recognition Algorithms	The FERET Verification Testing Protocol for Face Recognition Algorithms	[pdf]	[s2]		0c4a139bb87c6743c7905b29a3cfec27a5130652
feret	FERET	The FERET Evaluation Methodology for Face-Recognition Algorithms	The FERET Evaluation Methodology for Face-Recognition Algorithms	[pdf]	[s2]		0f0fcf041559703998abf310e56f8a2f90ee6f21
feret	FERET	FERET ( Face Recognition Technology ) Recognition Algorithm Development and Test Results	FERET ( Face Recognition Technology ) Recognition Algorithm Development and Test Results	[pdf]	[s2]		31de9b3dd6106ce6eec9a35991b2b9083395fd0b
feret	FERET	The FERET database and evaluation procedure for face-recognition algorithms	The FERET database and evaluation procedure for face-recognition algorithms	[pdf]	[s2]		dc8b25e35a3acb812beb499844734081722319b4
ferplus	FER+	Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution	Training deep networks for facial expression recognition with crowd-sourced label distribution	[pdf]	[s2]		298cbc3dfbbb3a20af4eed97906650a4ea1c29e0
fia	CMU FiA	The CMU Face In Action (FIA) Database	The CMU Face In Action (FIA) Database	[pdf]	[s2]		47662d1a368daf70ba70ef2d59eb6209f98b675d
fiw_300	300-W	A semi-automatic methodology for facial landmark annotation	A Semi-automatic Methodology for Facial Landmark Annotation	[pdf]	[s2]		013909077ad843eb6df7a3e8e290cfd5575999d2
fiw_300	300-W	300 Faces in-the-Wild Challenge: The first facial landmark localization Challenge	300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge	[pdf]	[s2]		044d9a8c61383312cdafbcc44b9d00d650b21c70
fiw_300	300-W	300 faces In-the-wild challenge: Database and results	300 Faces In-The-Wild Challenge: database and results	[pdf]	[s2]		e4754afaa15b1b53e70743880484b8d0736990ff
frav3d	FRAV3D	MULTIMODAL 2D, 2.5D & 3D FACE VERIFICATION	Multimodal 2D, 2.5D & 3D Face Verification	[pdf]	[s2]	Universidad Rey Juan Carlos, Spain	2b926b3586399d028b46315d7d9fb9d879e4f79c
frgc	FRGC	Overview of the Face Recognition Grand Challenge	Overview of the face recognition grand challenge	[pdf]	[s2]	NIST	18ae7c9a4bbc832b8b14bc4122070d7939f5e00e
gallagher	Gallagher	Clothing Cosegmentation for Recognizing People	Clothing cosegmentation for recognizing people	[pdf]	[s2]	Carnegie Mellon University	22ad2c8c0f4d6aa4328b38d894b814ec22579761
geofaces	GeoFaces	FACE2GPS: Estimating geographic location from facial features	Exploring the geo-dependence of human face appearance	[pdf]	[s2]		2cd7821fcf5fae53a185624f7eeda007434ae037
geofaces	GeoFaces	Large-scale geo-facial image analysis	Large-scale geo-facial image analysis	[pdf]	[s2]		4af89578ac237278be310f7660a408b03f12d603
geofaces	GeoFaces	Exploring the Geo-Dependence of Human Face Appearance	Exploring the geo-dependence of human face appearance	[pdf]	[s2]		2cd7821fcf5fae53a185624f7eeda007434ae037
geofaces	GeoFaces	GeoFaceExplorer: Exploring the Geo-Dependence of Facial Attributes	GeoFaceExplorer: exploring the geo-dependence of facial attributes	[pdf]	[s2]		17b46e2dad927836c689d6787ddb3387c6159ece
georgia_tech_face_database	Georgia Tech Face	Maximum likelihood training of the embedded HMM for face detection and recognition	Maximum Likelihood Training of the Embedded HMM for Face Detection and Recognition	[pdf]	[s2]		3dc3f0b64ef80f573e3a5f96e456e52ee980b877
gfw	Grouping Face in the Wild	Merge or Not? Learning to Group Faces via Imitation Learning	Merge or Not? Learning to Group Faces via Imitation Learning	[pdf]	[s2]		e58dd160a76349d46f881bd6ddbc2921f08d1050
graz	Graz Pedestrian	Weak Hypotheses and Boosting for Generic Object Detection and Recognition	Weak Hypotheses and Boosting for Generic Object Detection and Recognition	[pdf]	[s2]		0c91808994a250d7be332400a534a9291ca3b60e
graz	Graz Pedestrian	Object Recognition Using Segmentation for Feature Detection	Object recognition using segmentation for feature detection	[pdf]	[s2]	Inst. of Comput. Sci., Univ. of Leoben, Austria	12ad3b5bbbf407f8e54ea692c07633d1a867c566
graz	Graz Pedestrian	Generic Object Recognition with Boosting	Generic object recognition with boosting	[pdf]	[s2]	TU Graz	2eed184680edcdec8a3b605ad1a3ba8e8f7cc2e9
h3d	H3D	Poselets: Body Part Detectors Trained Using 3D Human Pose Annotations	Poselets: Body part detectors trained using 3D human pose annotations	[pdf]	[s2]		2830fb5282de23d7784b4b4bc37065d27839a412
hda_plus	HDA+	The HDA+ data set for research on fully automated re-identification systems	The HDA+ Data Set for Research on Fully Automated Re-identification Systems	[pdf]	[s2]		8f02ec0be21461fbcedf51d864f944cfc42c875f
hda_plus	HDA+	A Multi-camera video data set for research on High-Definition surveillance	HDA dataset-DRAFT 1 A Multi-camera video data set for research on High-Definition surveillance	[pdf]	[s2]		bd88bb2e4f351352d88ee7375af834360e223498
helen	Helen	Interactive Facial Feature Localization	Interactive Facial Feature Localization	[pdf]	[s2]		95f12d27c3b4914e0668a268360948bce92f7db3
hi4d_adsip	Hi4D-ADSIP	Hi4D-ADSIP 3-D dynamic facial articulation database	Hi4D-ADSIP 3-D dynamic facial articulation database	[pdf]	[s2]		a8d0b149c2eadaa02204d3e4356fbc8eccf3b315
hipsterwars	Hipsterwars	Hipster Wars: Discovering Elements of Fashion Styles	Hipster Wars: Discovering Elements of Fashion Styles	[pdf]	[s2]		04c2cda00e5536f4b1508cbd80041e9552880e67
hollywood_headset	HollywoodHeads	Context-aware CNNs for person head detection	Context-Aware CNNs for Person Head Detection	[pdf]	[s2]		0ceda9dae8b9f322df65ca2ef02caca9758aec6f
hrt_transgender	HRT Transgender	Is the Eye Region More Reliable Than the Face? A Preliminary Study of Face-based Recognition on a Transgender Dataset	Is the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset	[pdf]	[s2]		137aa2f891d474fce1e7a1d1e9b3aefe21e22b34
hrt_transgender	HRT Transgender	Investigating the Periocular-Based Face Recognition Across Gender Transformation	Investigating the Periocular-Based Face Recognition Across Gender Transformation	[pdf]	[s2]	University of North Carolina at Wilmington	2f43b614607163abf41dfe5d17ef6749a1b61304
ibm_dif	IBM Diversity in Faces	Diversity in Faces	Facial Coding Scheme Reference 1 Craniofacial Distances	[pdf]	[s2]		0ab7cff2ccda7269b73ff6efd9d37e1318f7db25
ifad	IFAD	Indian Face Age Database: A Database for Face Recognition with Age Variation	Indian Face Age Database: A Database for Face Recognition with Age Variation	[pdf]	[s2]		55c40cbcf49a0225e72d911d762c27bb1c2d14aa
ifdb	IFDB	Iranian Face Database and Evaluation with a New Detection Algorithm	Iranian Face Database and Evaluation with a New Detection Algorithm	[pdf]	[s2]		066d71fcd997033dce4ca58df924397dfe0b5fd1
ifdb	IFDB	Iranian Face Database with age, pose and expression	Iranian Face Database with age, pose and expression	[pdf]	[s2]	Islamic Azad University	b71d1aa90dcbe3638888725314c0d56640c1fef1
iit_dehli_ear	IIT Dehli Ear	Automated human identification using ear imaging	Automated Human Identification Using Ear Imaging	[pdf]	[s2]		faf40ce28857aedf183e193486f5b4b0a8c478a2
ijb_b	IJB-B	IARPA Janus Benchmark-B Face Dataset	IARPA Janus Benchmark-B Face Dataset	[pdf]	[s2]		0cb2dd5f178e3a297a0c33068961018659d0f443
ijb_a	IJB-A	Pushing the Frontiers of Unconstrained Face Detection and Recognition: IARPA Janus Benchmark A	Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A	[pdf]	[s2]		140c95e53c619eac594d70f6369f518adfea12ef
ijb_c	IJB-C	IARPA Janus Benchmark C	IARPA Janus Benchmark - C: Face Dataset and Protocol	[pdf]	[s2]		57178b36c21fd7f4529ac6748614bb3374714e91
ilids_mcts	i-LIDS Multiple-Camera	Imagery Library for Intelligent Detection Systems: The i-LIDS User Guide	Imagery Library for Intelligent Detection Systems (i-LIDS); A Standard for Testing Video Based Detection Systems	[pdf]	[s2]		0297448f3ed948e136bb06ceff10eccb34e5bb77
ilids_mcts_vid	iLIDS-VID	Person Re-Identication by Video Ranking	Person Re-identification by Video Ranking	[pdf]	[s2]		98bb029afe2a1239c3fdab517323066f0957b81b
images_of_groups	Images of Groups	Understanding Groups of Images of People	Understanding images of groups of people	[pdf]	[s2]	Carnegie Mellon University	21d9d0deed16f0ad62a4865e9acf0686f4f15492
imdb_face	IMDb Face	The Devil of Face Recognition is in the Noise	The Devil of Face Recognition is in the Noise	[pdf]	[s2]		9e31e77f9543ab42474ba4e9330676e18c242e72
imdb_wiki	IMDB-Wiki	Deep expectation of real and apparent age from a single image without facial landmarks	Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks	[pdf]	[s2]		10195a163ab6348eef37213a46f60a3d87f289c5
imdb_wiki	IMDB-Wiki	DEX: Deep EXpectation of apparent age from a single image	DEX: Deep EXpectation of Apparent Age from a Single Image	[pdf]	[s2]		8355d095d3534ef511a9af68a3b2893339e3f96b
imfdb	IMFDB	Indian Movie Face Database: A Benchmark for Face Recognition Under Wide Variations	Indian Movie Face Database: A benchmark for face recognition under wide variations	[pdf]	[s2]	BVBCET, Hubli, India	ca3e88d87e1344d076c964ea89d91a75c417f5ee
immediacy	Immediacy	Multi-task Recurrent Neural Network for Immediacy Prediction	Multi-task Recurrent Neural Network for Immediacy Prediction	[pdf]	[s2]		1e3df3ca8feab0b36fd293fe689f93bb2aaac591
imsitu	imSitu	Situation Recognition: Visual Semantic Role Labeling for Image Understanding	Situation Recognition: Visual Semantic Role Labeling for Image Understanding	[pdf]	[s2]		51eba481dac6b229a7490f650dff7b17ce05df73
inria_person	INRIA Pedestrian	Histograms of Oriented Gradients for Human Detection	Histograms of oriented gradients for human detection	[pdf]	[s2]	INRIA Rhone-Alps, Montbonnot, France	10d6b12fa07c7c8d6c8c3f42c7f1c061c131d4c5
jaffe	JAFFE	Coding Facial Expressions with Gabor Wavelets	Coding Facial Expressions with Gabor Wavelets	[pdf]	[s2]		45c31cde87258414f33412b3b12fc5bec7cb3ba9
jiku_mobile	Jiku Mobile Video Dataset	The Jiku Mobile Video Dataset	The jiku mobile video dataset	[pdf]	[s2]	National University of Singapore	d178cde92ab3dc0dd2ebee5a76a33d556c39448b
jpl_pose	JPL-Interaction dataset	First-Person Activity Recognition: What Are They Doing to Me?	First-Person Activity Recognition: What Are They Doing to Me?	[pdf]	[s2]		1aad2da473888cb7ebc1bfaa15bfa0f1502ce005
kin_face	UB KinFace	Understanding Kin Relationships in a Photo	Understanding Kin Relationships in a Photo	[pdf]	[s2]		08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7
kin_face	UB KinFace	Genealogical Face Recognition based on UB KinFace Database	Genealogical face recognition based on UB KinFace database	[pdf]	[s2]	SUNY Buffalo	2eb84aaba316b095d4bb51da1a3e4365bbf9ab1d
kin_face	UB KinFace	Kinship Verification through Transfer Learning	Kinship Verification through Transfer Learning	[pdf]	[s2]		4793f11fbca4a7dba898b9fff68f70d868e2497c
kinectface	KinectFaceDB	KinectFaceDB: A Kinect Database for Face Recognition	KinectFaceDB: A Kinect Database for Face Recognition	[pdf]	[s2]	University of North Carolina at Chapel Hill	0b440695c822a8e35184fb2f60dcdaa8a6de84ae
kitti	KITTI	Vision meets Robotics: The KITTI Dataset	Vision meets robotics: The KITTI dataset	[pdf]	[s2]		026e3363b7f76b51cc711886597a44d5f1fd1de2
lag	LAG	Large Age-Gap Face Verification by Feature Injection in Deep Networks	Large age-gap face verification by feature injection in deep networks	[pdf]	[s2]		0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e
laofiw	LAOFIW	Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings	Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings	[pdf]	[s2]		4eab317b5ac436a949849ed286baa3de2a541eef
large_scale_person_search	Large Scale Person Search	End-to-End Deep Learning for Person Search	End-to-End Deep Learning for Person Search	[pdf]	[s2]		2161f6b7ee3c0acc81603b01dc0df689683577b9
leeds_sports_pose	Leeds Sports Pose	Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation	Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation	[pdf]	[s2]		4b1d23d17476fcf78f4cbadf69fb130b1aa627c0
leeds_sports_pose_extended	Leeds Sports Pose Extended	Learning Effective Human Pose Estimation from Inaccurate Annotation	Learning effective human pose estimation from inaccurate annotation	[pdf]	[s2]	University of Leeds	4e4746094bf60ee83e40d8597a6191e463b57f76
lfpw	LFPW	Localizing Parts of Faces Using a Consensus of Exemplars	Localizing Parts of Faces Using a Consensus of Exemplars	[pdf]	[s2]		140438a77a771a8fb656b39a78ff488066eb6b50
lfw	LFW	Labeled Faces in the Wild: Updates and New Reporting Procedures	Labeled Faces in the Wild : Updates and New Reporting Procedures	[pdf]	[s2]		2d3482dcff69c7417c7b933f22de606a0e8e42d4
lfw	LFW	Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments	Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments	[pdf]	[s2]		370b5757a5379b15e30d619e4d3fb9e8e13f3256
lfw	LFW	Labeled Faces in the Wild: A Survey	Labeled Faces in the Wild: A Survey	[pdf]	[s2]		7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22
lfw	LFW	Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics	Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics	[pdf]	[s2]		133f01aec1534604d184d56de866a4bd531dac87
m2vts	m2vts	The M2VTS Multimodal Face Database (Release 1.00)	The M2VTS Multimodal Face Database (Release 1.00)	[pdf]	[s2]	Laboratoire de Télécommunications et Télédétection, UCL, Louvain-La-Neuve, Belgium	8be57cdad86fdf8c8290df4ca3149592f3c46dd3
m2vtsdb_extended	xm2vtsdb	XM2VTSDB: The Extended M2VTS Database	XM2VTSDB : The extended M2VTS database	[pdf]	[s2]		b62628ac06bbac998a3ab825324a41a11bc3a988
mafa	MAsked FAces	Detecting Masked Faces in the Wild with LLE-CNNs	Detecting Masked Faces in the Wild with LLE-CNNs	[pdf]	[s2]		9cc8cf0c7d7fa7607659921b6ff657e17e135ecc
mafl	MAFL	Facial Landmark Detection by Deep Multi-task Learning	Facial Landmark Detection by Deep Multi-task Learning	[pdf]	[s2]		8a3c5507237957d013a0fe0f082cab7f757af6ee
mafl	MAFL	Learning Deep Representation for Face Alignment with Auxiliary Attributes	Learning Deep Representation for Face Alignment with Auxiliary Attributes	[pdf]	[s2]		a0fd85b3400c7b3e11122f44dc5870ae2de9009a
malf	MALF	Fine-grained Evaluation on Face Detection in the Wild.	Fine-grained evaluation on face detection in the wild	[pdf]	[s2]		45e616093a92e5f1e61a7c6037d5f637aa8964af
mapillary	Mapillary	The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes	The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes	[pdf]	[s2]		79828e6e9f137a583082b8b5a9dfce0c301989b8
market_1501	Market 1501	Improving Person Re-identification by Attribute and Identity Learning	Improving Person Re-identification by Attribute and Identity Learning	[pdf]	[s2]		7f23a4bb0c777dd72cca7665a5f370ac7980217e
market_1501	Market 1501	Scalable Person Re-identification: A Benchmark	Scalable Person Re-identification: A Benchmark	[pdf]	[s2]		4308bd8c28e37e2ed9a3fcfe74d5436cce34b410
market_1501	Market 1501	Orientation Driven Bag of Appearances for Person Re-identification	Orientation Driven Bag of Appearances for Person Re-identification	[pdf]	[s2]		a7fe834a0af614ce6b50dc093132b031dd9a856b
mars	MARS	MARS: A Video Benchmark for Large-Scale Person Re-identification	MARS: A Video Benchmark for Large-Scale Person Re-Identification	[pdf]	[s2]		c0387e788a52f10bf35d4d50659cfa515d89fbec
mcgill	McGill Real World	Hierarchical Temporal Graphical Model for Head Pose Estimation and Subsequent Attribute Classification in Real-World Videos	Hierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos	[pdf]	[s2]		2d45cfd838016a6e39f6b766ffe85acd649440c7
mcgill	McGill Real World	Robust Semi-automatic Head Pose Labeling for Real-World Face Video Sequences	Robust semi-automatic head pose labeling for real-world face video sequences	[pdf]	[s2]	McGill University	c570d1247e337f91e555c3be0e8c8a5aba539d9f
megaage	MegaAge	Quantifying Facial Age by Posterior of Age Comparisons	Quantifying Facial Age by Posterior of Age Comparisons	[pdf]	[s2]		8fee9b8c44626c4ac6b96ef183394bc4f36dc95f
megaface	MegaFace	Level Playing Field for Million Scale Face Recognition	Level Playing Field for Million Scale Face Recognition	[pdf]	[s2]		15af83373274f4b4c5976c5f384ea0a5c124b287
megaface	MegaFace	Level Playing Field for Million Scale Face Recognition	Level Playing Field for Million Scale Face Recognition	[pdf]	[s2]		15af83373274f4b4c5976c5f384ea0a5c124b287
megaface	MegaFace	The MegaFace Benchmark: 1 Million Faces for Recognition at Scale	The MegaFace Benchmark: 1 Million Faces for Recognition at Scale	[pdf]	[s2]		96e0cfcd81cdeb8282e29ef9ec9962b125f379b0
mifs	MIFS	Spoofing Faces Using Makeup: An Investigative Study	Spoofing faces using makeup: An investigative study	[pdf]	[s2]	INRIA Méditerranée	23e824d1dfc33f3780dd18076284f07bd99f1c43
mit_cbcl	MIT CBCL	Component-based Face Recognition with 3D Morphable Models	Component-Based Face Recognition with 3D Morphable Models	[pdf]	[s2]		079a0a3bf5200994e1f972b1b9197bf2f90e87d4
miw	MIW	Automatic Facial Makeup Detection with Application in Face Recognition	Automatic facial makeup detection with application in face recognition	[pdf]	[s2]	West Virginia University	fcc6fe6007c322641796cb8792718641856a22a7
mmi_facial_expression	MMI Facial Expression Dataset	WEB-BASED DATABASE FOR FACIAL EXPRESSION ANALYSIS	Web-based database for facial expression analysis	[pdf]	[s2]		2a75f34663a60ab1b04a0049ed1d14335129e908
moments_in_time	Moments in Time	Moments in Time Dataset: one million videos for event understanding	Moments in Time Dataset: one million videos for event understanding	[pdf]	[s2]		41976ebc8ab76d9a6861487c97cc7fcbe3b6015f
morph	MORPH Commercial	MORPH: A Longitudinal Image Database of Normal Adult Age-Progression	MORPH: a longitudinal image database of normal adult age-progression	[pdf]	[s2]		9055b155cbabdce3b98e16e5ac9c0edf00f9552f
morph_nc	MORPH-II	MORPH: A Longitudinal Image Database of Normal Adult Age-Progression	MORPH: a longitudinal image database of normal adult age-progression	[pdf]	[s2]		9055b155cbabdce3b98e16e5ac9c0edf00f9552f
mot	MOT	Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics	Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics	[pdf]	[s2]		2258e01865367018ed6f4262c880df85b94959f8
mot	MOT	Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking	Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking	[pdf]	[s2]		27a2fad58dd8727e280f97036e0d2bc55ef5424c
mot	MOT	Learning to associate: HybridBoosted multi-target tracker for crowded scene	Learning to associate: HybridBoosted multi-target tracker for crowded scene	[pdf]	[s2]	University of Southern California	5981e6479c3fd4e31644db35d236bfb84ae46514
mpi_large	Large MPI Facial Expression	The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions	The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions	[pdf]	[s2]		ea050801199f98a1c7c1df6769f23f658299a3ae
mpi_small	Small MPI Facial Expression	The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions	The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions	[pdf]	[s2]		ea050801199f98a1c7c1df6769f23f658299a3ae
mpii_gaze	MPIIGaze	Appearance-based Gaze Estimation in the Wild	Appearance-based gaze estimation in the wild	[pdf]	[s2]		0df0d1adea39a5bef318b74faa37de7f3e00b452
mpii_human_pose	MPII Human Pose	2D Human Pose Estimation: New Benchmark and State of the Art Analysis	2D Human Pose Estimation: New Benchmark and State of the Art Analysis	[pdf]	[s2]		3325860c0c82a93b2eac654f5324dd6a776f609e
mr2	MR2	The MR2: A multi-racial mega-resolution database of facial stimuli	The MR2: A multi-racial, mega-resolution database of facial stimuli.	[pdf]	[s2]		578d4ad74818086bb64f182f72e2c8bd31e3d426
mrp_drone	MRP Drone	Investigating Open-World Person Re-identification Using a Drone	Investigating Open-World Person Re-identification Using a Drone	[pdf]	[s2]		ad01687649d95cd5b56d7399a9603c4b8e2217d7
msceleb	MsCeleb	MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition	MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition	[pdf]	[s2]		291265db88023e92bb8c8e6390438e5da148e8f5
msmt_17	MSMT17	Person Transfer GAN to Bridge Domain Gap for Person Re-Identification	Person Transfer GAN to Bridge Domain Gap for Person Re-identification	[pdf]	[s2]		a0cc5f73a37723a6dd465924143f1cb4976d0169
mtfl	MTFL	Facial Landmark Detection by Deep Multi-task Learning	Facial Landmark Detection by Deep Multi-task Learning	[pdf]	[s2]		8a3c5507237957d013a0fe0f082cab7f757af6ee
mtfl	MTFL	Learning Deep Representation for Face Alignment with Auxiliary Attributes	Learning Deep Representation for Face Alignment with Auxiliary Attributes	[pdf]	[s2]		a0fd85b3400c7b3e11122f44dc5870ae2de9009a
mug_faces	MUG Faces	The MUG Facial Expression Database	The MUG facial expression database	[pdf]	[s2]	Aristotle University of Thessaloniki	f1af714b92372c8e606485a3982eab2f16772ad8
multi_pie	MULTIPIE	Multi-PIE	The CMU Pose, Illumination, and Expression (PIE) Database	[pdf]	[s2]		4d423acc78273b75134e2afd1777ba6d3a398973
names_and_faces	News Dataset	Names and Faces	Names and faces in the news	[pdf]	[s2]		2fda164863a06a92d3a910b96eef927269aeb730
nd_2006	ND-2006	Using a Multi-Instance Enrollment Representation to Improve 3D Face Recognition	Using a Multi-Instance Enrollment Representation to Improve 3D Face Recognition	[pdf]	[s2]	University of Notre Dame	fd8168f1c50de85bac58a8d328df0a50248b16ae
nova_emotions	Novaemötions Dataset	Competitive affective gamming: Winning with a smile	Competitive affective gaming: winning with a smile	[pdf]	[s2]	Universidade NOVA de Lisboa, Caparica, Portugal	7f4040b482d16354d5938c1d1b926b544652bf5b
nova_emotions	Novaemötions Dataset	Crowdsourcing facial expressions for affective-interaction	Crowdsourcing facial expressions for affective-interaction	[pdf]	[s2]		c06b13d0ec3f5c43e2782cd22542588e233733c3
orl	ORL	Parameterisation of a Stochastic Model for Human Face Identification	Parameterisation of a stochastic model for human face identification	[pdf]	[s2]		55206f0b5f57ce17358999145506cd01e570358c
pa_100k	PA-100K	HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis	HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis	[pdf]	[s2]		f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44
penn_fudan	Penn Fudan	Object Detection Combining Recognition and Segmentation	Object Detection Combining Recognition and Segmentation	[pdf]	[s2]		3394168ff0719b03ff65bcea35336a76b21fe5e4
peta	PETA	Pedestrian Attribute Recognition At Far Distance	Pedestrian Attribute Recognition At Far Distance	[pdf]	[s2]		2a4bbee0b4cf52d5aadbbc662164f7efba89566c
pets	PETS 2017	PETS 2017: Dataset and Challenge	PETS 2017: Dataset and Challenge	[pdf]	[s2]		22909dd19a0ec3b6065334cb5be5392cb24d839d
pilot_parliament	PPB	Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification	Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification	[pdf]	[s2]		18858cc936947fc96b5c06bbe3c6c2faa5614540
pipa	PIPA	Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues	Beyond frontal faces: Improving Person Recognition using multiple cues	[pdf]	[s2]		0a85bdff552615643dd74646ac881862a7c7072d
pku_reid	PKU-Reid	Swiss-System Based Cascade Ranking for Gait-based Person Re-identification	Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification	[pdf]	[s2]		f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f
pku_reid	PKU-Reid	Orientation driven bag of appearances for person re-identification	Orientation Driven Bag of Appearances for Person Re-identification	[pdf]	[s2]		a7fe834a0af614ce6b50dc093132b031dd9a856b
precarious	Precarious	Expecting the Unexpected: Training Detectors for Unusual Pedestrians With Adversarial Imposters	Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters	[pdf]	[s2]		9e5378e7b336c89735d3bb15cf67eff96f86d39a
prid	PRID	Person Re-Identification by Descriptive and Discriminative Classification	Person Re-identification by Descriptive and Discriminative Classification	[pdf]	[s2]		16c7c31a7553d99f1837fc6e88e77b5ccbb346b8
prw	PRW	Person Re-identification in the Wild	Person Re-identification in the Wild	[pdf]	[s2]		0b84f07af44f964817675ad961def8a51406dd2e
psu	PSU	Vision-based Analysis of Small Groups in Pedestrian Crowds	Vision-Based Analysis of Small Groups in Pedestrian Crowds	[pdf]	[s2]		066000d44d6691d27202896691f08b27117918b9
pubfig	PubFig	Attribute and Simile Classifiers for Face Verification	Attribute and simile classifiers for face verification	[pdf]	[s2]		759a3b3821d9f0e08e0b0a62c8b693230afc3f8d
pubfig_83	pubfig83	Scaling Up Biologically-Inspired Computer Vision: A Case Study in Unconstrained Face Recognition on Facebook	Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook	[pdf]	[s2]	Harvard University	9c23859ec7313f2e756a3e85575735e0c52249f4
put_face	Put Face	The PUT face database	The put face database	[pdf]	[s2]		ae0aee03d946efffdc7af2362a42d3750e7dd48a
qmul_grid	GRID	Time-delayed correlation analysis for multi-camera activity understanding	Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding	[pdf]	[s2]	Queen Mary University of London	2edb87494278ad11641b6cf7a3f8996de12b8e14
qmul_grid	GRID	Multi-Camera Activity Correlation Analysis	Multi-camera activity correlation analysis	[pdf]	[s2]	Queen Mary University of London	3b5b6d19d4733ab606c39c69a889f9e67967f151
qmul_surv_face	QMUL-SurvFace	Surveillance Face Recognition Challenge	Surveillance Face Recognition Challenge	[pdf]	[s2]		2306b2a8fba28539306052764a77a0d0f5d1236a
rafd	RaFD	Presentation and validation of the Radboud Faces Database	Presentation and validation of the Radboud Faces Database	[pdf]	[s2]		3765df816dc5a061bc261e190acc8bdd9d47bec0
raid	43	Consistent Re-identification in a Camera Network	Consistent Re-identification in a Camera Network	[pdf]	[s2]		09d78009687bec46e70efcf39d4612822e61cb8c
rap_pedestrian	RAP	A Richly Annotated Dataset for Pedestrian Attribute Recognition	A Richly Annotated Dataset for Pedestrian Attribute Recognition	[pdf]	[s2]		221c18238b829c12b911706947ab38fd017acef7
reseed	ReSEED	ReSEED: Social Event dEtection Dataset	ReSEED: social event dEtection dataset	[pdf]	[s2]		54983972aafc8e149259d913524581357b0f91c3
saivt	SAIVT SoftBio	A Database for Person Re-Identification in Multi-Camera Surveillance Networks	A Database for Person Re-Identification in Multi-Camera Surveillance Networks	[pdf]	[s2]		22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2b
sarc3d	Sarc3D	SARC3D: a new 3D body model for People Tracking and Re-identification	SARC3D: A New 3D Body Model for People Tracking and Re-identification	[pdf]	[s2]		e27ef52c641c2b5100a1b34fd0b819e84a31b4df
scface	SCface	SCface – surveillance cameras face database	SCface – surveillance cameras face database	[pdf]	[s2]		29a705a5fa76641e0d8963f1fdd67ee4c0d92d3d
scut_fbp	SCUT-FBP	SCUT-FBP: A Benchmark Dataset for Facial Beauty Perception	SCUT-FBP: A Benchmark Dataset for Facial Beauty Perception	[pdf]	[s2]		bd26dabab576adb6af30484183c9c9c8379bf2e0
scut_head	SCUT HEAD	Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture	Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture	[pdf]	[s2]		d3200d49a19a4a4e4e9745ee39649b65d80c834b
sdu_vid	SDU-VID	A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification	A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification	[pdf]	[s2]		3b4ec8af470948a72a6ed37a9fd226719a874ebc
sdu_vid	SDU-VID	Local descriptors encoded by Fisher vectors for person re-identification	Local Descriptors Encoded by Fisher Vectors for Person Re-identification	[pdf]	[s2]		46a01565e6afe7c074affb752e7069ee3bf2e4ef
sdu_vid	SDU-VID	Person reidentification by video ranking	Person Re-identification by Video Ranking	[pdf]	[s2]		98bb029afe2a1239c3fdab517323066f0957b81b
social_relation	Social Relation	Learning Social Relation Traits from Face Images	Learning Social Relation Traits from Face Images	[pdf]	[s2]		2a171f8d14b6b8735001a11c217af9587d095848
soton	SOTON HiD	On a Large Sequence-Based Human Gait Database	On a Large Sequence-Based Human Gait Database	[pdf]	[s2]		4f93cd09785c6e77bf4bc5a788e079df524c8d21
sports_videos_in_the_wild	SVW	Sports Videos in the Wild (SVW): A Video Dataset for Sports Analysis	Sports Videos in the Wild (SVW): A video dataset for sports analysis	[pdf]	[s2]		1a40092b493c6b8840257ab7f96051d1a4dbfeb2
stair_actions	STAIR Action	STAIR Actions: A Video Dataset of Everyday Home Actions	STAIR Actions: A Video Dataset of Everyday Home Actions	[pdf]	[s2]		d3f5a1848b0028d8ab51d0b0673732cad2e3c8c9
stanford_drone	Stanford Drone	Learning Social Etiquette: Human Trajectory Prediction In Crowded Scenes	Social LSTM: Human Trajectory Prediction in Crowded Spaces	[pdf]	[s2]		570f37ed63142312e6ccdf00ecc376341ec72b9f
stickmen_buffy	Buffy Stickmen	Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation	Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation	[pdf]	[s2]		4b1d23d17476fcf78f4cbadf69fb130b1aa627c0
stickmen_buffy	Buffy Stickmen	Learning to Parse Images of Articulated Objects	Learning to parse images of articulated bodies	[pdf]	[s2]		6dd0597f8513dc100cd0bc1b493768cde45098a9
stickmen_family	We Are Family Stickmen	We Are Family: Joint Pose Estimation of Multiple Persons	We Are Family: Joint Pose Estimation of Multiple Persons	[pdf]	[s2]		0dc11a37cadda92886c56a6fb5191ded62099c28
stickmen_pascal	Stickmen PASCAL	Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation	Learning to parse images of articulated bodies	[pdf]	[s2]		6dd0597f8513dc100cd0bc1b493768cde45098a9
stickmen_pascal	Stickmen PASCAL	Learning to Parse Images of Articulated Objects	Learning to parse images of articulated bodies	[pdf]	[s2]		6dd0597f8513dc100cd0bc1b493768cde45098a9
sun_attributes	SUN	The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding	The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding	[pdf]	[s2]		66e6f08873325d37e0ec20a4769ce881e04e964e
sun_attributes	SUN	SUN Attribute Database: Discovering, Annotating, and Recognizing Scene Attributes	SUN attribute database: Discovering, annotating, and recognizing scene attributes	[pdf]	[s2]	Brown University	833fa04463d90aab4a9fe2870d480f0b40df446e
svs	SVS	Pedestrian Attribute Classification in Surveillance: Database and Evaluation	Pedestrian Attribute Classification in Surveillance: Database and Evaluation	[pdf]	[s2]		488e475eeb3bb39a145f23ede197cd3620f1d98a
texas_3dfrd	Texas 3DFRD	Anthropometric 3D Face Recognition	Anthropometric 3D Face Recognition	[pdf]	[s2]		2ce2560cf59db59ce313bbeb004e8ce55c5ce928
texas_3dfrd	Texas 3DFRD	Texas 3D Face Recognition Database	Texas 3D Face Recognition Database	[pdf]	[s2]		4d58f886f5150b2d5e48fd1b5a49e09799bf895d
tiny_faces	TinyFace	Low-Resolution Face Recognition	Low-Resolution Face Recognition	[pdf]	[s2]		8990cdce3f917dad622e43e033db686b354d057c
tiny_images	#N/A	80 million tiny images: a large dataset for non-parametric object and scene recognition	80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition	[pdf]	[s2]		31b58ced31f22eab10bd3ee2d9174e7c14c27c01
tisi	Times Square Intersection	Video Synopsis by Heterogeneous Multi-source Correlation	Video Synopsis by Heterogeneous Multi-source Correlation	[pdf]	[s2]		b6c293f0420f7e945b5916ae44269fb53e139275
tisi	Times Square Intersection	Learning from Multiple Sources for Video Summarisation	Learning from Multiple Sources for Video Summarisation	[pdf]	[s2]		287ddcb3db5562235d83aee318f318b8d5e43fb1
oxford_town_centre	TownCentre	Stable Multi-Target Tracking in Real-Time Surveillance Video	Stable multi-target tracking in real-time surveillance video	[pdf]	[s2]		9361b784e73e9238d5cefbea5ac40d35d1e3103f
tud_brussels	TUD-Brussels	Multi-Cue Onboard Pedestrian Detection	Multi-cue onboard pedestrian detection	[pdf]	[s2]		6ad5a38df8dd4cdddd74f31996ce096d41219f72
tud_campus	TUD-Campus	People-Tracking-by-Detection and People-Detection-by-Tracking	People-tracking-by-detection and people-detection-by-tracking	[pdf]	[s2]		3316521a5527c7700af8ae6aef32a79a8b83672c
tud_crossing	TUD-Crossing	People-Tracking-by-Detection and People-Detection-by-Tracking	People-tracking-by-detection and people-detection-by-tracking	[pdf]	[s2]		3316521a5527c7700af8ae6aef32a79a8b83672c
tud_motionpairs	TUD-Motionparis	Multi-Cue Onboard Pedestrian Detection	Multi-cue onboard pedestrian detection	[pdf]	[s2]		6ad5a38df8dd4cdddd74f31996ce096d41219f72
tud_multiview	TUD-Multiview	Monocular 3D Pose Estimation and Tracking by Detection	Monocular 3D pose estimation and tracking by detection	[pdf]	[s2]	TU Darmstadt	436f798d1a4e54e5947c1e7d7375c31b2bdb4064
tud_pedestrian	TUD-Pedestrian	People-Tracking-by-Detection and People-Detection-by-Tracking	People-tracking-by-detection and people-detection-by-tracking	[pdf]	[s2]		3316521a5527c7700af8ae6aef32a79a8b83672c
tud_stadtmitte	TUD-Stadtmitte	Monocular 3D Pose Estimation and Tracking by Detection	Monocular 3D pose estimation and tracking by detection	[pdf]	[s2]	TU Darmstadt	436f798d1a4e54e5947c1e7d7375c31b2bdb4064
tvhi	TVHI	High Five: Recognising human interactions in TV shows	High Five: Recognising human interactions in TV shows	[pdf]	[s2]		3cd40bfa1ff193a96bde0207e5140a399476466c
uccs	UCCS	Large scale unconstrained open set face database	Large scale unconstrained open set face database	[pdf]	[s2]		07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1
uccs	UCCS	Unconstrained Face Detection and Open-Set Face Recognition Challenge	Unconstrained Face Detection and Open-Set Face Recognition Challenge	[pdf]	[s2]		d4f1eb008eb80595bcfdac368e23ae9754e1e745
ucf_101	UCF101	UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild	UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild	[pdf]	[s2]		b5f2846a506fc417e7da43f6a7679146d99c5e96
ucf_crowd	UCF-CC-50	Multi-Source Multi-Scale Counting in Extremely Dense Crowd Images	Multi-source Multi-scale Counting in Extremely Dense Crowd Images	[pdf]	[s2]		32c801cb7fbeb742edfd94cccfca4934baec71da
ucf_selfie	UCF Selfie	How to Take a Good Selfie?	How to Take a Good Selfie?	[pdf]	[s2]		041d3eedf5e45ce5c5229f0181c5c576ed1fafd6
ufdd	UFDD	Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results	Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results	[pdf]	[s2]		3531332efe19be21e7401ba1f04570a142617236
umb	UMB	UMB-DB: A Database of Partially Occluded 3D Faces	UMB-DB: A database of partially occluded 3D faces	[pdf]	[s2]		16e8b0a1e8451d5f697b94c0c2b32a00abee1d52
umd_faces	UMD	UMDFaces: An Annotated Face Dataset for Training Deep Networks	UMDFaces: An annotated face dataset for training deep networks	[pdf]	[s2]		31b05f65405534a696a847dd19c621b7b8588263
umd_faces	UMD	The Do's and Don'ts for CNN-based Face Verification	The Do’s and Don’ts for CNN-Based Face Verification	[pdf]	[s2]		71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6
unbc_shoulder_pain	UNBC-McMaster Pain	PAINFUL DATA: The UNBC-McMaster Shoulder Pain Expression Archive Database	Painful data: The UNBC-McMaster shoulder pain expression archive database	[pdf]	[s2]	Carnegie Mellon University	56ffa7d906b08d02d6d5a12c7377a57e24ef3391
urban_tribes	Urban Tribes	From Bikers to Surfers: Visual Recognition of Urban Tribes	From Bikers to Surfers: Visual Recognition of Urban Tribes	[pdf]	[s2]		774cbb45968607a027ae4729077734db000a1ec5
used	USED Social Event Dataset	USED: A Large-scale Social Event Detection Dataset	USED: a large-scale social event detection dataset	[pdf]	[s2]	University of Trento	8627f019882b024aef92e4eb9355c499c733e5b7
v47	V47	Re-identification of Pedestrians with Variable Occlusion and Scale	Re-identification of pedestrians with variable occlusion and scale	[pdf]	[s2]	Kingston University	922e0a51a3b8c67c4c6ac09a577ff674cbd28b34
vadana	VADANA	VADANA: A dense dataset for facial image analysis	VADANA: A dense dataset for facial image analysis	[pdf]	[s2]	University of Delaware	4563b46d42079242f06567b3f2e2f7a80cb3befe
vgg_celebs_in_places	CIP	Faces in Places: Compound Query Retrieval	Faces in Places: compound query retrieval	[pdf]	[s2]		7ebb153704706e457ab57b432793d2b6e5d12592
vgg_faces	VGG Face	Deep Face Recognition	Deep Face Recognition	[pdf]	[s2]		162ea969d1929ed180cc6de9f0bf116993ff6e06
vgg_faces2	VGG Face2	VGGFace2: A dataset for recognising faces across pose and age	VGGFace2: A Dataset for Recognising Faces across Pose and Age	[pdf]	[s2]		70c59dc3470ae867016f6ab0e008ac8ba03774a1
violent_flows	Violent Flows	Violent Flows: Real-Time Detection of Violent Crowd Behavior	Violent flows: Real-time detection of violent crowd behavior	[pdf]	[s2]	Open University of Israel	5194cbd51f9769ab25260446b4fa17204752e799
viper	VIPeR	Evaluating Appearance Models for Recognition, Reacquisition, and Tracking	Evaluating Appearance Models for Recognition, Reacquisition, and Tracking	[pdf]	[s2]		6273b3491e94ea4dd1ce42b791d77bdc96ee73a8
visual_phrases	Phrasal Recognition	Recognition using Visual Phrases	Recognition using visual phrases	[pdf]	[s2]	University of Illinois, Urbana-Champaign	e8de844fefd54541b71c9823416daa238be65546
vmu	VMU	Can Facial Cosmetics Affect the Matching Accuracy of Face Recognition Systems?	Can facial cosmetics affect the matching accuracy of face recognition systems?	[pdf]	[s2]	West Virginia University	37d6f0eb074d207b53885bd2eb78ccc8a04be597
voc	VOC	The PASCAL Visual Object Classes (VOC) Challenge	The Pascal Visual Object Classes (VOC) Challenge	[pdf]	[s2]		0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a
voxceleb2	VoxCeleb2	VoxCeleb2: Deep Speaker Recognition	VoxCeleb2: Deep Speaker Recognition.	[pdf]	[s2]		8875ae233bc074f5cd6c4ebba447b536a7e847a5
vqa	VQA	VQA: Visual Question Answering	VQA: Visual Question Answering	[pdf]	[s2]		01959ef569f74c286956024866c1d107099199f7
ward	WARD	Re-identify people in wide area camera network	Re-identify people in wide area camera network	[pdf]	[s2]	University of Udine	6f3c76b7c0bd8e1d122c6ea808a271fd4749c951
who_goes_there	WGT	Who Goes There? Approaches to Mapping Facial Appearance Diversity	Who goes there?: approaches to mapping facial appearance diversity	[pdf]	[s2]	University of Kentucky	9b9bf5e623cb8af7407d2d2d857bc3f1b531c182
wider	WIDER	Recognize Complex Events from Static Images by Fusing Deep Channels	Recognize complex events from static images by fusing deep channels	[pdf]	[s2]		356b431d4f7a2a0a38cf971c84568207dcdbf189
wider_attribute	WIDER Attribute	Human Attribute Recognition by Deep Hierarchical Contexts	Human Attribute Recognition by Deep Hierarchical Contexts	[pdf]	[s2]		44d23df380af207f5ac5b41459c722c87283e1eb
wider_face	WIDER FACE	WIDER FACE: A Face Detection Benchmark	WIDER FACE: A Face Detection Benchmark	[pdf]	[s2]		52d7eb0fbc3522434c13cc247549f74bb9609c5d
wildtrack	WildTrack	WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection	WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection	[pdf]	[s2]		36bccfb2ad847096bc76777e544f305813cd8f5b
wlfdb	WLFDB	WLFDB: Weakly Labeled Face Databases	WLFDB : Weakly Labeled Face Databases	[pdf]	[s2]		5ad4e9f947c1653c247d418f05dad758a3f9277b
yale_faces	YaleFaces	From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose	From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose	[pdf]	[s2]		18c72175ddbb7d5956d180b65a96005c100f6014
yale_faces	YaleFaces	Acquiring Linear Subspaces for Face Recognition under Variable Lighting	Acquiring linear subspaces for face recognition under variable lighting	[pdf]	[s2]		2ad0ee93d029e790ebb50574f403a09854b65b7e
yawdd	YawDD	YawDD: A Yawning Detection Dataset	YawDD: a yawning detection dataset	[pdf]	[s2]		a94cae786d515d3450d48267e12ca954aab791c4
yfcc_100m	YFCC100M	YFCC100M: The New Data in Multimedia Research	YFCC100M: the new data in multimedia research	[pdf]	[s2]		010f0f4929e6a6644fb01f0e43820f91d0fad292
york_3d	UOY 3D Face Database	Three-Dimensional Face Recognition: An Eigensurface Approach	Three-dimensional face recognition: an eigensurface approach	[pdf]	[s2]		19d1b811df60f86cbd5e04a094b07f32fff7a32a
youtube_celebrities	YouTube Celebrities	Face Tracking and Recognition with Visual Constraints in Real-World Videos	Face tracking and recognition with visual constraints in real-world videos	[pdf]	[s2]	Rutgers University	6204776d31359d129a582057c2d788a14f8aadeb
youtube_faces	YouTubeFaces	Face Recognition in Unconstrained Videos with Matched Background Similarity	Face recognition in unconstrained videos with matched background similarity	[pdf]	[s2]		560e0e58d0059259ddf86fcec1fa7975dee6a868
youtube_makeup	YMU	Can Facial Cosmetics Affect the Matching Accuracy of Face Recognition Systems?	Can facial cosmetics affect the matching accuracy of face recognition systems?	[pdf]	[s2]	West Virginia University	37d6f0eb074d207b53885bd2eb78ccc8a04be597
youtube_makeup	YMU	Automatic Facial Makeup Detection with Application in Face Recognition	Automatic facial makeup detection with application in face recognition	[pdf]	[s2]	West Virginia University	fcc6fe6007c322641796cb8792718641856a22a7
youtube_poses	YouTube Pose	Personalizing Human Video Pose Estimation	Personalizing Human Video Pose Estimation	[pdf]	[s2]		1c2802c2199b6d15ecefe7ba0c39bfe44363de38
flickr_faces	FFHQ	A Style-Based Generator Architecture for Generative Adversarial Networks	A Style-Based Generator Architecture for Generative Adversarial Networks	[pdf]	[s2]		ceb2ebef0b41e31c1a21b28c2734123900c005e2

\ No newline at end of file diff --git a/scraper/reports/paper_title_report_no_location.html b/scraper/reports/paper_title_report_no_location.html index 304573eb..94dfc6aa 100644 --- a/scraper/reports/paper_title_report_no_location.html +++ b/scraper/reports/paper_title_report_no_location.html @@ -1 +1 @@ -Papers with no location

Papers with no location

key	name	our title	found title			s2 id
10k_US_adult_faces	10K US Adult Faces	The intrinsic memorability of face images	The intrinsic memorability of face photographs.	[pdf]	[s2]	8b2dd5c61b23ead5ae5508bb8ce808b5ea266730
3d_rma	3D-RMA	Automatic 3D Face Authentication	Automatic 3D face authentication	[pdf]	[s2]	2160788824c4c29ffe213b2cbeb3f52972d73f37
3dddb_unconstrained	3D Dynamic	A 3D Dynamic Database for Unconstrained Face Recognition	A 3D Dynamic Database for Unconstrained Face Recognition	[pdf]	[s2]	4d4bb462c9f1d4e4ab1e4aa6a75cc0bc71b38461
3dpes	3DPeS	3DPes: 3D People Dataset for Surveillance and Forensics	3DPeS: 3D people dataset for surveillance and forensics	[pdf]	[s2]	2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e
4dfab	4DFAB	4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications	4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications	[pdf]	[s2]	a40f9bfd3c45658ee8da70e1f2dfbe1f0c744d43
fpoq	50 People One Question	Merging Pose Estimates Across Space and Time	Merging Pose Estimates Across Space and Time	[pdf]	[s2]	5753b2b5e442eaa3be066daa4a2ca8d8a0bb1725
adience	Adience	Age and Gender Estimation of Unfiltered Faces	Age and Gender Estimation of Unfiltered Faces	[pdf]	[s2]	1be498d4bbc30c3bfd0029114c784bc2114d67c0
afad	AFAD	Ordinal Regression with a Multiple Output CNN for Age Estimation	Ordinal Regression with Multiple Output CNN for Age Estimation	[pdf]	[s2]	6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c
afew_va	AFEW-VA	AFEW-VA database for valence and arousal estimation in-the-wild	AFEW-VA database for valence and arousal estimation in-the-wild	[pdf]	[s2]	2624d84503bc2f8e190e061c5480b6aa4d89277a
affectnet	AffectNet	AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild	AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild	[pdf]	[s2]	758d7e1be64cc668c59ef33ba8882c8597406e53
aflw	AFLW	Annotated Facial Landmarks in the Wild: A Large-scale, Real-world Database for Facial Landmark Localization	Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization	[pdf]	[s2]	a74251efa970b92925b89eeef50a5e37d9281ad0
afw	AFW	Face detection, pose estimation and landmark localization in the wild	Face detection, pose estimation, and landmark localization in the wild	[pdf]	[s2]	0e986f51fe45b00633de9fd0c94d082d2be51406
agedb	AgeDB	AgeDB: the first manually collected, in-the-wild age database	AgeDB: The First Manually Collected, In-the-Wild Age Database	[pdf]	[s2]	d818568838433a6d6831adde49a58cef05e0c89f
alert_airport	ALERT Airport	A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets	A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets	[pdf]	[s2]	6403117f9c005ae81f1e8e6d1302f4a045e3d99d
am_fed	AM-FED	Affectiva MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected “In the Wild”	Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected "In-the-Wild"	[pdf]	[s2]	47aeb3b82f54b5ae8142b4bdda7b614433e69b9a
apis	APiS1.0	Pedestrian Attribute Classification in Surveillance: Database and Evaluation	Pedestrian Attribute Classification in Surveillance: Database and Evaluation	[pdf]	[s2]	488e475eeb3bb39a145f23ede197cd3620f1d98a
appa_real	APPA-REAL	Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database	Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database	[pdf]	[s2]	633c851ebf625ad7abdda2324e9de093cf623141
appa_real	APPA-REAL	From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation	From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation	[pdf]	[s2]	7b92d1e53cc87f7a4256695de590098a2f30261e
ar_facedb	AR Face	The AR Face Database	The AR face database	[pdf]	[s2]	6d96f946aaabc734af7fe3fc4454cf8547fcd5ed
awe_ears	AWE Ears	Ear Recognition: More Than a Survey	Ear Recognition: More Than a Survey	[pdf]	[s2]	84fe5b4ac805af63206012d29523a1e033bc827e
b3d_ac	B3D(AC)	A 3-D Audio-Visual Corpus of Affective Communication	A 3-D Audio-Visual Corpus of Affective Communication	[pdf]	[s2]	d08cc366a4a0192a01e9a7495af1eb5d9f9e73ae
bbc_pose	BBC Pose	Automatic and Efficient Human Pose Estimation for Sign Language Videos	Automatic and Efficient Human Pose Estimation for Sign Language Videos	[pdf]	[s2]	213a579af9e4f57f071b884aa872651372b661fd
bfm	BFM	A 3D Face Model for Pose and Illumination Invariant Face Recognition	A 3D Face Model for Pose and Illumination Invariant Face Recognition	[pdf]	[s2]	639937b3a1b8bded3f7e9a40e85bd3770016cf3c
bio_id	BioID Face	Robust Face Detection Using the Hausdorff Distance	Robust Face Detection Using the Hausdorff Distance	[pdf]	[s2]	4053e3423fb70ad9140ca89351df49675197196a
bosphorus	The Bosphorus	Bosphorus Database for 3D Face Analysis	Bosphorus Database for 3D Face Analysis	[pdf]	[s2]	2acf7e58f0a526b957be2099c10aab693f795973
bp4d_plus	BP4D+	Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis	Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis	[pdf]	[s2]	53ae38a6bb2b21b42bac4f0c4c8ed1f9fa02f9d4
bpad	BPAD	Describing People: A Poselet-Based Approach to Attribute Classification	Describing people: A poselet-based approach to attribute classification	[pdf]	[s2]	7808937b46acad36e43c30ae4e9f3fd57462853d
brainwash	Brainwash	End-to-End People Detection in Crowded Scenes	End-to-End People Detection in Crowded Scenes	[pdf]	[s2]	1bd1645a629f1b612960ab9bba276afd4cf7c666
bu_3dfe	BU-3DFE	A 3D Facial Expression Database For Facial Behavior Research	A 3D facial expression database for facial behavior research	[pdf]	[s2]	cc589c499dcf323fe4a143bbef0074c3e31f9b60
cacd		Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval	Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval	[pdf]	[s2]	c44c84540db1c38ace232ef34b03bda1c81ba039
cafe	#N/A	The Child Affective Facial Expression (CAFE) Set: Validity and reliability from untrained adults	The Child Affective Facial Expression (CAFE) set: validity and reliability from untrained adults	[pdf]	[s2]	20388099cc415c772926e47bcbbe554e133343d1
caltech_10k_web_faces	Caltech 10K Web Faces	Pruning Training Sets for Learning of Object Categories	Pruning training sets for learning of object categories	[pdf]	[s2]	636b8ffc09b1b23ff714ac8350bb35635e49fa3c
caltech_crp	Caltech CRP	Fine-grained classification of pedestrians in video: Benchmark and state of the art	Fine-grained classification of pedestrians in video: Benchmark and state of the art	[pdf]	[s2]	060820f110a72cbf02c14a6d1085bd6e1d994f6a
caltech_pedestrians	Caltech Pedestrians	Pedestrian Detection: A Benchmark	Pedestrian detection: A benchmark	[pdf]	[s2]	1dc35905a1deff8bc74688f2d7e2f48fd2273275
cas_peal	CAS-PEAL	The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations	The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations	[pdf]	[s2]	2485c98aa44131d1a2f7d1355b1e372f2bb148ad
casablanca	Casablanca	Context-aware {CNNs} for person head detection	Context-Aware CNNs for Person Head Detection	[pdf]	[s2]	0ceda9dae8b9f322df65ca2ef02caca9758aec6f
casia_webface	CASIA Webface	Learning Face Representation from Scratch	Learning Face Representation from Scratch	[pdf]	[s2]	853bd61bc48a431b9b1c7cab10c603830c488e39
celeba	CelebA	Deep Learning Face Attributes in the Wild	Deep Learning Face Attributes in the Wild	[pdf]	[s2]	6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4
cfd	CFD	The Chicago face database: A free stimulus set of faces and norming data	The Chicago face database: A free stimulus set of faces and norming data.	[pdf]	[s2]	4df3143922bcdf7db78eb91e6b5359d6ada004d2
chalearn	ChaLearn	ChaLearn Looking at People: A Review of Events and Resources	ChaLearn looking at people: A review of events and resources	[pdf]	[s2]	8d5998cd984e7cce307da7d46f155f9db99c6590
chokepoint	ChokePoint	Patch-based Probabilistic Image Quality Assessment for Face Selection and Improved Video-based Face Recognition	Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition	[pdf]	[s2]	0486214fb58ee9a04edfe7d6a74c6d0f661a7668
clothing_co_parsing	CCP	Clothing Co-Parsing by Joint Image Segmentation and Labeling	Clothing Co-parsing by Joint Image Segmentation and Labeling	[pdf]	[s2]	2bf8541199728262f78d4dced6fb91479b39b738
cmdp	CMDP	Distance Estimation of an Unknown Person from a Portrait	Distance Estimation of an Unknown Person from a Portrait	[pdf]	[s2]	56ae6d94fc6097ec4ca861f0daa87941d1c10b70
cmu_pie	CMU PIE	The CMU Pose, Illumination, and Expression Database	The CMU Pose, Illumination, and Expression (PIE) Database	[pdf]	[s2]	4d423acc78273b75134e2afd1777ba6d3a398973
coco	COCO	Microsoft COCO: Common Objects in Context	Microsoft COCO: Common Objects in Context	[pdf]	[s2]	5e0f8c355a37a5a89351c02f174e7a5ddcb98683
coco_action	COCO-a	Describing Common Human Visual Actions in Images	Describing Common Human Visual Actions in Images	[pdf]	[s2]	4946ba10a4d5a7d0a38372f23e6622bd347ae273
coco_qa	COCO QA	Exploring Models and Data for Image Question Answering	Exploring Models and Data for Image Question Answering	[pdf]	[s2]	35b0331dfcd2897abd5749b49ff5e2b8ba0f7a62
cofw	COFW	Robust face landmark estimation under occlusion	Robust Face Landmark Estimation under Occlusion	[pdf]	[s2]	2724ba85ec4a66de18da33925e537f3902f21249
cohn_kanade	CK	Comprehensive Database for Facial Expression Analysis	Comprehensive Database for Facial Expression Analysis	[pdf]	[s2]	23fc83c8cfff14a16df7ca497661264fc54ed746
complex_activities	Ongoing Complex Activities	Recognition of Ongoing Complex Activities by Sequence Prediction over a Hierarchical Label Space	Recognition of ongoing complex activities by sequence prediction over a hierarchical label space	[pdf]	[s2]	65355cbb581a219bd7461d48b3afd115263ea760
cuhk_campus_03	CUHK03 Campus	Human Reidentification with Transferred Metric Learning	Human Reidentification with Transferred Metric Learning	[pdf]	[s2]	44484d2866f222bbb9b6b0870890f9eea1ffb2d0
cuhk_campus_03	CUHK03 Campus	Locally Aligned Feature Transforms across Views	Locally Aligned Feature Transforms across Views	[pdf]	[s2]	38b55d95189c5e69cf4ab45098a48fba407609b4
cuhk_campus_03	CUHK03 Campus	DeepReID: Deep Filter Pairing Neural Network for Person Re-identification	DeepReID: Deep Filter Pairing Neural Network for Person Re-identification	[pdf]	[s2]	6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3
cvc_01_barcelona	CVC-01	Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection	Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection	[pdf]	[s2]	57fe081950f21ca03b5b375ae3e84b399c015861
ufi	UFI	Unconstrained Facial Images: Database for Face Recognition under Real-world Conditions	Unconstrained Facial Images: Database for Face Recognition Under Real-World Conditions	[pdf]	[s2]	4b4106614c1d553365bad75d7866bff0de6056ed
d3dfacs	D3DFACS	A FACS Valid 3D Dynamic Action Unit database with Applications to 3D Dynamic Morphable Facial Modelling	A FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling	[pdf]	[s2]	070de852bc6eb275d7ca3a9cdde8f6be8795d1a3
dartmouth_children	Dartmouth Children	The Dartmouth Database of Children's Faces: Acquisition and validation of a new face stimulus set	The Dartmouth Database of Children’s Faces: Acquisition and Validation of a New Face Stimulus Set	[pdf]	[s2]	4e6ee936eb50dd032f7138702fa39b7c18ee8907
data_61	Data61 Pedestrian	A Multi-Modal Graphical Model for Scene Analysis	A Multi-modal Graphical Model for Scene Analysis	[pdf]	[s2]	563c940054e4b456661762c1ab858e6f730c3159
deep_fashion	DeepFashion	DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations	DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations	[pdf]	[s2]	18010284894ed0edcca74e5bf768ee2e15ef7841
deep_fashion	DeepFashion	Fashion Landmark Detection in the Wild	Fashion Landmark Detection in the Wild	[pdf]	[s2]	4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7
distance_nighttime	Long Distance Heterogeneous Face	Nighttime Face Recognition at Long Distance: Cross-distance and Cross-spectral Matching	Nighttime Face Recognition at Long Distance: Cross-Distance and Cross-Spectral Matching	[pdf]	[s2]	4156b7e88f2e0ab0a7c095b9bab199ae2b23bd06
duke_mtmc	Duke MTMC	Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking	Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking	[pdf]	[s2]	27a2fad58dd8727e280f97036e0d2bc55ef5424c
duke_mtmc	Duke MTMC	Improving Person Re-identification by Attribute and Identity Learning	Improving Person Re-identification by Attribute and Identity Learning	[pdf]	[s2]	7f23a4bb0c777dd72cca7665a5f370ac7980217e
duke_mtmc	Duke MTMC	Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro	Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro	[pdf]	[s2]	15e1af79939dbf90790b03d8aa02477783fb1d0f
duke_mtmc	Duke MTMC	Tracking Multiple People Online and in Real Time	Tracking Multiple People Online and in Real Time	[pdf]	[s2]	64e0690dd176a93de9d4328f6e31fc4afe1e7536
emotio_net	EmotioNet Database	EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild	EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild	[pdf]	[s2]	c900e0ad4c95948baaf0acd8449fde26f9b4952a
erce	ERCe	Video Synopsis by Heterogeneous Multi-source Correlation	Video Synopsis by Heterogeneous Multi-source Correlation	[pdf]	[s2]	b6c293f0420f7e945b5916ae44269fb53e139275
erce	ERCe	Learning from Multiple Sources for Video Summarisation	Learning from Multiple Sources for Video Summarisation	[pdf]	[s2]	287ddcb3db5562235d83aee318f318b8d5e43fb1
europersons	EuroCity Persons	The EuroCity Persons Dataset: A Novel Benchmark for Object Detection	The EuroCity Persons Dataset: A Novel Benchmark for Object Detection	[pdf]	[s2]	72a155c987816ae81c858fddbd6beab656d86220
expw	ExpW	From Facial Expression Recognition to Interpersonal Relation Prediction	From Facial Expression Recognition to Interpersonal Relation Prediction	[pdf]	[s2]	22f656d0f8426c84a33a267977f511f127bfd7f3
face_scrub	FaceScrub	A data-driven approach to cleaning large face datasets	A data-driven approach to cleaning large face datasets	[pdf]	[s2]	0d3bb75852098b25d90f31d2f48fd0cb4944702b
face_tracer	FaceTracer	FaceTracer: A Search Engine for Large Collections of Images with Faces	FaceTracer: A Search Engine for Large Collections of Images with Faces	[pdf]	[s2]	4c170a0dcc8de75587dae21ca508dab2f9343974
face_tracer	FaceTracer	Face Swapping: Automatically Replacing Faces in Photographs	Face swapping: automatically replacing faces in photographs	[pdf]	[s2]	670637d0303a863c1548d5b19f705860a23e285c
faceplace	Face Place	Recognizing disguised faces	Recognizing disguised faces	[pdf]	[s2]	25474c21613607f6bb7687a281d5f9d4ffa1f9f3
fddb	FDDB	FDDB: A Benchmark for Face Detection in Unconstrained Settings	FDDB: A benchmark for face detection in unconstrained settings	[pdf]	[s2]	75da1df4ed319926c544eefe17ec8d720feef8c0
fei	FEI	Captura e Alinhamento de Imagens: Um Banco de Faces Brasileiro	A new ranking method for principal components analysis and its application to face image analysis	[pdf]	[s2]	8b56e33f33e582f3e473dba573a16b598ed9bcdc
feret	FERET	The FERET Verification Testing Protocol for Face Recognition Algorithms	The FERET Verification Testing Protocol for Face Recognition Algorithms	[pdf]	[s2]	0c4a139bb87c6743c7905b29a3cfec27a5130652
feret	FERET	The FERET Evaluation Methodology for Face-Recognition Algorithms	The FERET Evaluation Methodology for Face-Recognition Algorithms	[pdf]	[s2]	0f0fcf041559703998abf310e56f8a2f90ee6f21
feret	FERET	FERET ( Face Recognition Technology ) Recognition Algorithm Development and Test Results	FERET ( Face Recognition Technology ) Recognition Algorithm Development and Test Results	[pdf]	[s2]	31de9b3dd6106ce6eec9a35991b2b9083395fd0b
feret	FERET	The FERET database and evaluation procedure for face-recognition algorithms	The FERET database and evaluation procedure for face-recognition algorithms	[pdf]	[s2]	dc8b25e35a3acb812beb499844734081722319b4
ferplus	FER+	Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution	Training deep networks for facial expression recognition with crowd-sourced label distribution	[pdf]	[s2]	298cbc3dfbbb3a20af4eed97906650a4ea1c29e0
fia	CMU FiA	The CMU Face In Action (FIA) Database	The CMU Face In Action (FIA) Database	[pdf]	[s2]	47662d1a368daf70ba70ef2d59eb6209f98b675d
fiw_300	300-W	A semi-automatic methodology for facial landmark annotation	A Semi-automatic Methodology for Facial Landmark Annotation	[pdf]	[s2]	013909077ad843eb6df7a3e8e290cfd5575999d2
fiw_300	300-W	300 Faces in-the-Wild Challenge: The first facial landmark localization Challenge	300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge	[pdf]	[s2]	044d9a8c61383312cdafbcc44b9d00d650b21c70
fiw_300	300-W	300 faces In-the-wild challenge: Database and results	300 Faces In-The-Wild Challenge: database and results	[pdf]	[s2]	e4754afaa15b1b53e70743880484b8d0736990ff
geofaces	GeoFaces	FACE2GPS: Estimating geographic location from facial features	Exploring the geo-dependence of human face appearance	[pdf]	[s2]	2cd7821fcf5fae53a185624f7eeda007434ae037
geofaces	GeoFaces	Large-scale geo-facial image analysis	Large-scale geo-facial image analysis	[pdf]	[s2]	4af89578ac237278be310f7660a408b03f12d603
geofaces	GeoFaces	Exploring the Geo-Dependence of Human Face Appearance	Exploring the geo-dependence of human face appearance	[pdf]	[s2]	2cd7821fcf5fae53a185624f7eeda007434ae037
geofaces	GeoFaces	GeoFaceExplorer: Exploring the Geo-Dependence of Facial Attributes	GeoFaceExplorer: exploring the geo-dependence of facial attributes	[pdf]	[s2]	17b46e2dad927836c689d6787ddb3387c6159ece
georgia_tech_face_database	Georgia Tech Face	Maximum likelihood training of the embedded HMM for face detection and recognition	Maximum Likelihood Training of the Embedded HMM for Face Detection and Recognition	[pdf]	[s2]	3dc3f0b64ef80f573e3a5f96e456e52ee980b877
gfw	Grouping Face in the Wild	Merge or Not? Learning to Group Faces via Imitation Learning	Merge or Not? Learning to Group Faces via Imitation Learning	[pdf]	[s2]	e58dd160a76349d46f881bd6ddbc2921f08d1050
graz	Graz Pedestrian	Weak Hypotheses and Boosting for Generic Object Detection and Recognition	Weak Hypotheses and Boosting for Generic Object Detection and Recognition	[pdf]	[s2]	0c91808994a250d7be332400a534a9291ca3b60e
h3d	H3D	Poselets: Body Part Detectors Trained Using 3D Human Pose Annotations	Poselets: Body part detectors trained using 3D human pose annotations	[pdf]	[s2]	2830fb5282de23d7784b4b4bc37065d27839a412
hda_plus	HDA+	The HDA+ data set for research on fully automated re-identification systems	The HDA+ Data Set for Research on Fully Automated Re-identification Systems	[pdf]	[s2]	8f02ec0be21461fbcedf51d864f944cfc42c875f
hda_plus	HDA+	A Multi-camera video data set for research on High-Definition surveillance	HDA dataset-DRAFT 1 A Multi-camera video data set for research on High-Definition surveillance	[pdf]	[s2]	bd88bb2e4f351352d88ee7375af834360e223498
helen	Helen	Interactive Facial Feature Localization	Interactive Facial Feature Localization	[pdf]	[s2]	95f12d27c3b4914e0668a268360948bce92f7db3
hi4d_adsip	Hi4D-ADSIP	Hi4D-ADSIP 3-D dynamic facial articulation database	Hi4D-ADSIP 3-D dynamic facial articulation database	[pdf]	[s2]	a8d0b149c2eadaa02204d3e4356fbc8eccf3b315
hipsterwars	Hipsterwars	Hipster Wars: Discovering Elements of Fashion Styles	Hipster Wars: Discovering Elements of Fashion Styles	[pdf]	[s2]	04c2cda00e5536f4b1508cbd80041e9552880e67
hollywood_headset	HollywoodHeads	Context-aware CNNs for person head detection	Context-Aware CNNs for Person Head Detection	[pdf]	[s2]	0ceda9dae8b9f322df65ca2ef02caca9758aec6f
hrt_transgender	HRT Transgender	Is the Eye Region More Reliable Than the Face? A Preliminary Study of Face-based Recognition on a Transgender Dataset	Is the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset	[pdf]	[s2]	137aa2f891d474fce1e7a1d1e9b3aefe21e22b34
ibm_dif	IBM Diversity in Faces	Diversity in Faces	Facial Coding Scheme Reference 1 Craniofacial Distances	[pdf]	[s2]	0ab7cff2ccda7269b73ff6efd9d37e1318f7db25
ifad	IFAD	Indian Face Age Database: A Database for Face Recognition with Age Variation	Indian Face Age Database: A Database for Face Recognition with Age Variation	[pdf]	[s2]	55c40cbcf49a0225e72d911d762c27bb1c2d14aa
ifdb	IFDB	Iranian Face Database and Evaluation with a New Detection Algorithm	Iranian Face Database and Evaluation with a New Detection Algorithm	[pdf]	[s2]	066d71fcd997033dce4ca58df924397dfe0b5fd1
iit_dehli_ear	IIT Dehli Ear	Automated human identification using ear imaging	Automated Human Identification Using Ear Imaging	[pdf]	[s2]	faf40ce28857aedf183e193486f5b4b0a8c478a2
ijb_b	IJB-B	IARPA Janus Benchmark-B Face Dataset	IARPA Janus Benchmark-B Face Dataset	[pdf]	[s2]	0cb2dd5f178e3a297a0c33068961018659d0f443
ijb_a	IJB-A	Pushing the Frontiers of Unconstrained Face Detection and Recognition: IARPA Janus Benchmark A	Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A	[pdf]	[s2]	140c95e53c619eac594d70f6369f518adfea12ef
ijb_c	IJB-C	IARPA Janus Benchmark C	IARPA Janus Benchmark - C: Face Dataset and Protocol	[pdf]	[s2]	57178b36c21fd7f4529ac6748614bb3374714e91
ilids_mcts	i-LIDS Multiple-Camera	Imagery Library for Intelligent Detection Systems: The i-LIDS User Guide	Imagery Library for Intelligent Detection Systems (i-LIDS); A Standard for Testing Video Based Detection Systems	[pdf]	[s2]	0297448f3ed948e136bb06ceff10eccb34e5bb77
ilids_mcts_vid	iLIDS-VID	Person Re-Identication by Video Ranking	Person Re-identification by Video Ranking	[pdf]	[s2]	98bb029afe2a1239c3fdab517323066f0957b81b
imdb_face	IMDb Face	The Devil of Face Recognition is in the Noise	The Devil of Face Recognition is in the Noise	[pdf]	[s2]	9e31e77f9543ab42474ba4e9330676e18c242e72
imdb_wiki	IMDB-Wiki	Deep expectation of real and apparent age from a single image without facial landmarks	Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks	[pdf]	[s2]	10195a163ab6348eef37213a46f60a3d87f289c5
imdb_wiki	IMDB-Wiki	DEX: Deep EXpectation of apparent age from a single image	DEX: Deep EXpectation of Apparent Age from a Single Image	[pdf]	[s2]	8355d095d3534ef511a9af68a3b2893339e3f96b
immediacy	Immediacy	Multi-task Recurrent Neural Network for Immediacy Prediction	Multi-task Recurrent Neural Network for Immediacy Prediction	[pdf]	[s2]	1e3df3ca8feab0b36fd293fe689f93bb2aaac591
imsitu	imSitu	Situation Recognition: Visual Semantic Role Labeling for Image Understanding	Situation Recognition: Visual Semantic Role Labeling for Image Understanding	[pdf]	[s2]	51eba481dac6b229a7490f650dff7b17ce05df73
jaffe	JAFFE	Coding Facial Expressions with Gabor Wavelets	Coding Facial Expressions with Gabor Wavelets	[pdf]	[s2]	45c31cde87258414f33412b3b12fc5bec7cb3ba9
jpl_pose	JPL-Interaction dataset	First-Person Activity Recognition: What Are They Doing to Me?	First-Person Activity Recognition: What Are They Doing to Me?	[pdf]	[s2]	1aad2da473888cb7ebc1bfaa15bfa0f1502ce005
kin_face	UB KinFace	Understanding Kin Relationships in a Photo	Understanding Kin Relationships in a Photo	[pdf]	[s2]	08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7
kin_face	UB KinFace	Kinship Verification through Transfer Learning	Kinship Verification through Transfer Learning	[pdf]	[s2]	4793f11fbca4a7dba898b9fff68f70d868e2497c
kitti	KITTI	Vision meets Robotics: The KITTI Dataset	Vision meets robotics: The KITTI dataset	[pdf]	[s2]	026e3363b7f76b51cc711886597a44d5f1fd1de2
lag	LAG	Large Age-Gap Face Verification by Feature Injection in Deep Networks	Large age-gap face verification by feature injection in deep networks	[pdf]	[s2]	0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e
laofiw	LAOFIW	Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings	Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings	[pdf]	[s2]	4eab317b5ac436a949849ed286baa3de2a541eef
large_scale_person_search	Large Scale Person Search	End-to-End Deep Learning for Person Search	End-to-End Deep Learning for Person Search	[pdf]	[s2]	2161f6b7ee3c0acc81603b01dc0df689683577b9
leeds_sports_pose	Leeds Sports Pose	Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation	Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation	[pdf]	[s2]	4b1d23d17476fcf78f4cbadf69fb130b1aa627c0
lfpw	LFPW	Localizing Parts of Faces Using a Consensus of Exemplars	Localizing Parts of Faces Using a Consensus of Exemplars	[pdf]	[s2]	140438a77a771a8fb656b39a78ff488066eb6b50
lfw	LFW	Labeled Faces in the Wild: Updates and New Reporting Procedures	Labeled Faces in the Wild : Updates and New Reporting Procedures	[pdf]	[s2]	2d3482dcff69c7417c7b933f22de606a0e8e42d4
lfw	LFW	Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments	Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments	[pdf]	[s2]	370b5757a5379b15e30d619e4d3fb9e8e13f3256
lfw	LFW	Labeled Faces in the Wild: A Survey	Labeled Faces in the Wild: A Survey	[pdf]	[s2]	7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22
lfw	LFW	Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics	Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics	[pdf]	[s2]	133f01aec1534604d184d56de866a4bd531dac87
m2vtsdb_extended	xm2vtsdb	XM2VTSDB: The Extended M2VTS Database	XM2VTSDB : The extended M2VTS database	[pdf]	[s2]	b62628ac06bbac998a3ab825324a41a11bc3a988
mafa	MAsked FAces	Detecting Masked Faces in the Wild with LLE-CNNs	Detecting Masked Faces in the Wild with LLE-CNNs	[pdf]	[s2]	9cc8cf0c7d7fa7607659921b6ff657e17e135ecc
mafl	MAFL	Facial Landmark Detection by Deep Multi-task Learning	Facial Landmark Detection by Deep Multi-task Learning	[pdf]	[s2]	8a3c5507237957d013a0fe0f082cab7f757af6ee
mafl	MAFL	Learning Deep Representation for Face Alignment with Auxiliary Attributes	Learning Deep Representation for Face Alignment with Auxiliary Attributes	[pdf]	[s2]	a0fd85b3400c7b3e11122f44dc5870ae2de9009a
malf	MALF	Fine-grained Evaluation on Face Detection in the Wild.	Fine-grained evaluation on face detection in the wild	[pdf]	[s2]	45e616093a92e5f1e61a7c6037d5f637aa8964af
mapillary	Mapillary	The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes	The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes	[pdf]	[s2]	79828e6e9f137a583082b8b5a9dfce0c301989b8
market_1501	Market 1501	Improving Person Re-identification by Attribute and Identity Learning	Improving Person Re-identification by Attribute and Identity Learning	[pdf]	[s2]	7f23a4bb0c777dd72cca7665a5f370ac7980217e
market_1501	Market 1501	Scalable Person Re-identification: A Benchmark	Scalable Person Re-identification: A Benchmark	[pdf]	[s2]	4308bd8c28e37e2ed9a3fcfe74d5436cce34b410
market_1501	Market 1501	Orientation Driven Bag of Appearances for Person Re-identification	Orientation Driven Bag of Appearances for Person Re-identification	[pdf]	[s2]	a7fe834a0af614ce6b50dc093132b031dd9a856b
mars	MARS	MARS: A Video Benchmark for Large-Scale Person Re-identification	MARS: A Video Benchmark for Large-Scale Person Re-Identification	[pdf]	[s2]	c0387e788a52f10bf35d4d50659cfa515d89fbec
mcgill	McGill Real World	Hierarchical Temporal Graphical Model for Head Pose Estimation and Subsequent Attribute Classification in Real-World Videos	Hierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos	[pdf]	[s2]	2d45cfd838016a6e39f6b766ffe85acd649440c7
megaage	MegaAge	Quantifying Facial Age by Posterior of Age Comparisons	Quantifying Facial Age by Posterior of Age Comparisons	[pdf]	[s2]	8fee9b8c44626c4ac6b96ef183394bc4f36dc95f
megaface	MegaFace	Level Playing Field for Million Scale Face Recognition	Level Playing Field for Million Scale Face Recognition	[pdf]	[s2]	15af83373274f4b4c5976c5f384ea0a5c124b287
megaface	MegaFace	The MegaFace Benchmark: 1 Million Faces for Recognition at Scale	The MegaFace Benchmark: 1 Million Faces for Recognition at Scale	[pdf]	[s2]	96e0cfcd81cdeb8282e29ef9ec9962b125f379b0
mit_cbcl	MIT CBCL	Component-based Face Recognition with 3D Morphable Models	Component-Based Face Recognition with 3D Morphable Models	[pdf]	[s2]	079a0a3bf5200994e1f972b1b9197bf2f90e87d4
mmi_facial_expression	MMI Facial Expression Dataset	WEB-BASED DATABASE FOR FACIAL EXPRESSION ANALYSIS	Web-based database for facial expression analysis	[pdf]	[s2]	2a75f34663a60ab1b04a0049ed1d14335129e908
moments_in_time	Moments in Time	Moments in Time Dataset: one million videos for event understanding	Moments in Time Dataset: one million videos for event understanding	[pdf]	[s2]	41976ebc8ab76d9a6861487c97cc7fcbe3b6015f
morph	MORPH Commercial	MORPH: A Longitudinal Image Database of Normal Adult Age-Progression	MORPH: a longitudinal image database of normal adult age-progression	[pdf]	[s2]	9055b155cbabdce3b98e16e5ac9c0edf00f9552f
morph_nc	MORPH-II	MORPH: A Longitudinal Image Database of Normal Adult Age-Progression	MORPH: a longitudinal image database of normal adult age-progression	[pdf]	[s2]	9055b155cbabdce3b98e16e5ac9c0edf00f9552f
mot	MOT	Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics	Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics	[pdf]	[s2]	2258e01865367018ed6f4262c880df85b94959f8
mot	MOT	Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking	Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking	[pdf]	[s2]	27a2fad58dd8727e280f97036e0d2bc55ef5424c
mpi_large	Large MPI Facial Expression	The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions	The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions	[pdf]	[s2]	ea050801199f98a1c7c1df6769f23f658299a3ae
mpi_small	Small MPI Facial Expression	The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions	The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions	[pdf]	[s2]	ea050801199f98a1c7c1df6769f23f658299a3ae
mpii_gaze	MPIIGaze	Appearance-based Gaze Estimation in the Wild	Appearance-based gaze estimation in the wild	[pdf]	[s2]	0df0d1adea39a5bef318b74faa37de7f3e00b452
mpii_human_pose	MPII Human Pose	2D Human Pose Estimation: New Benchmark and State of the Art Analysis	2D Human Pose Estimation: New Benchmark and State of the Art Analysis	[pdf]	[s2]	3325860c0c82a93b2eac654f5324dd6a776f609e
mr2	MR2	The MR2: A multi-racial mega-resolution database of facial stimuli	The MR2: A multi-racial, mega-resolution database of facial stimuli.	[pdf]	[s2]	578d4ad74818086bb64f182f72e2c8bd31e3d426
mrp_drone	MRP Drone	Investigating Open-World Person Re-identification Using a Drone	Investigating Open-World Person Re-identification Using a Drone	[pdf]	[s2]	ad01687649d95cd5b56d7399a9603c4b8e2217d7
msceleb	MsCeleb	MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition	MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition	[pdf]	[s2]	291265db88023e92bb8c8e6390438e5da148e8f5
msmt_17	MSMT17	Person Transfer GAN to Bridge Domain Gap for Person Re-Identification	Person Transfer GAN to Bridge Domain Gap for Person Re-identification	[pdf]	[s2]	a0cc5f73a37723a6dd465924143f1cb4976d0169
mtfl	MTFL	Facial Landmark Detection by Deep Multi-task Learning	Facial Landmark Detection by Deep Multi-task Learning	[pdf]	[s2]	8a3c5507237957d013a0fe0f082cab7f757af6ee
mtfl	MTFL	Learning Deep Representation for Face Alignment with Auxiliary Attributes	Learning Deep Representation for Face Alignment with Auxiliary Attributes	[pdf]	[s2]	a0fd85b3400c7b3e11122f44dc5870ae2de9009a
multi_pie	MULTIPIE	Multi-PIE	The CMU Pose, Illumination, and Expression (PIE) Database	[pdf]	[s2]	4d423acc78273b75134e2afd1777ba6d3a398973
names_and_faces	News Dataset	Names and Faces	Names and faces in the news	[pdf]	[s2]	2fda164863a06a92d3a910b96eef927269aeb730
nova_emotions	Novaemötions Dataset	Crowdsourcing facial expressions for affective-interaction	Crowdsourcing facial expressions for affective-interaction	[pdf]	[s2]	c06b13d0ec3f5c43e2782cd22542588e233733c3
orl	ORL	Parameterisation of a Stochastic Model for Human Face Identification	Parameterisation of a stochastic model for human face identification	[pdf]	[s2]	55206f0b5f57ce17358999145506cd01e570358c
pa_100k	PA-100K	HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis	HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis	[pdf]	[s2]	f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44
penn_fudan	Penn Fudan	Object Detection Combining Recognition and Segmentation	Object Detection Combining Recognition and Segmentation	[pdf]	[s2]	3394168ff0719b03ff65bcea35336a76b21fe5e4
peta	PETA	Pedestrian Attribute Recognition At Far Distance	Pedestrian Attribute Recognition At Far Distance	[pdf]	[s2]	2a4bbee0b4cf52d5aadbbc662164f7efba89566c
pets	PETS 2017	PETS 2017: Dataset and Challenge	PETS 2017: Dataset and Challenge	[pdf]	[s2]	22909dd19a0ec3b6065334cb5be5392cb24d839d
pilot_parliament	PPB	Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification	Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification	[pdf]	[s2]	18858cc936947fc96b5c06bbe3c6c2faa5614540
pipa	PIPA	Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues	Beyond frontal faces: Improving Person Recognition using multiple cues	[pdf]	[s2]	0a85bdff552615643dd74646ac881862a7c7072d
pku_reid	PKU-Reid	Swiss-System Based Cascade Ranking for Gait-based Person Re-identification	Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification	[pdf]	[s2]	f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f
pku_reid	PKU-Reid	Orientation driven bag of appearances for person re-identification	Orientation Driven Bag of Appearances for Person Re-identification	[pdf]	[s2]	a7fe834a0af614ce6b50dc093132b031dd9a856b
precarious	Precarious	Expecting the Unexpected: Training Detectors for Unusual Pedestrians With Adversarial Imposters	Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters	[pdf]	[s2]	9e5378e7b336c89735d3bb15cf67eff96f86d39a
prid	PRID	Person Re-Identification by Descriptive and Discriminative Classification	Person Re-identification by Descriptive and Discriminative Classification	[pdf]	[s2]	16c7c31a7553d99f1837fc6e88e77b5ccbb346b8
prw	PRW	Person Re-identification in the Wild	Person Re-identification in the Wild	[pdf]	[s2]	0b84f07af44f964817675ad961def8a51406dd2e
psu	PSU	Vision-based Analysis of Small Groups in Pedestrian Crowds	Vision-Based Analysis of Small Groups in Pedestrian Crowds	[pdf]	[s2]	066000d44d6691d27202896691f08b27117918b9
pubfig	PubFig	Attribute and Simile Classifiers for Face Verification	Attribute and simile classifiers for face verification	[pdf]	[s2]	759a3b3821d9f0e08e0b0a62c8b693230afc3f8d
put_face	Put Face	The PUT face database	The put face database	[pdf]	[s2]	ae0aee03d946efffdc7af2362a42d3750e7dd48a
qmul_surv_face	QMUL-SurvFace	Surveillance Face Recognition Challenge	Surveillance Face Recognition Challenge	[pdf]	[s2]	2306b2a8fba28539306052764a77a0d0f5d1236a
rafd	RaFD	Presentation and validation of the Radboud Faces Database	Presentation and validation of the Radboud Faces Database	[pdf]	[s2]	3765df816dc5a061bc261e190acc8bdd9d47bec0
raid	43	Consistent Re-identification in a Camera Network	Consistent Re-identification in a Camera Network	[pdf]	[s2]	09d78009687bec46e70efcf39d4612822e61cb8c
rap_pedestrian	RAP	A Richly Annotated Dataset for Pedestrian Attribute Recognition	A Richly Annotated Dataset for Pedestrian Attribute Recognition	[pdf]	[s2]	221c18238b829c12b911706947ab38fd017acef7
reseed	ReSEED	ReSEED: Social Event dEtection Dataset	ReSEED: social event dEtection dataset	[pdf]	[s2]	54983972aafc8e149259d913524581357b0f91c3
saivt	SAIVT SoftBio	A Database for Person Re-Identification in Multi-Camera Surveillance Networks	A Database for Person Re-Identification in Multi-Camera Surveillance Networks	[pdf]	[s2]	22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2b
sarc3d	Sarc3D	SARC3D: a new 3D body model for People Tracking and Re-identification	SARC3D: A New 3D Body Model for People Tracking and Re-identification	[pdf]	[s2]	e27ef52c641c2b5100a1b34fd0b819e84a31b4df
scface	SCface	SCface – surveillance cameras face database	SCface – surveillance cameras face database	[pdf]	[s2]	29a705a5fa76641e0d8963f1fdd67ee4c0d92d3d
scut_fbp	SCUT-FBP	SCUT-FBP: A Benchmark Dataset for Facial Beauty Perception	SCUT-FBP: A Benchmark Dataset for Facial Beauty Perception	[pdf]	[s2]	bd26dabab576adb6af30484183c9c9c8379bf2e0
scut_head	SCUT HEAD	Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture	Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture	[pdf]	[s2]	d3200d49a19a4a4e4e9745ee39649b65d80c834b
sdu_vid	SDU-VID	A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification	A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification	[pdf]	[s2]	3b4ec8af470948a72a6ed37a9fd226719a874ebc
sdu_vid	SDU-VID	Local descriptors encoded by Fisher vectors for person re-identification	Local Descriptors Encoded by Fisher Vectors for Person Re-identification	[pdf]	[s2]	46a01565e6afe7c074affb752e7069ee3bf2e4ef
sdu_vid	SDU-VID	Person reidentification by video ranking	Person Re-identification by Video Ranking	[pdf]	[s2]	98bb029afe2a1239c3fdab517323066f0957b81b
social_relation	Social Relation	Learning Social Relation Traits from Face Images	Learning Social Relation Traits from Face Images	[pdf]	[s2]	2a171f8d14b6b8735001a11c217af9587d095848
soton	SOTON HiD	On a Large Sequence-Based Human Gait Database	On a Large Sequence-Based Human Gait Database	[pdf]	[s2]	4f93cd09785c6e77bf4bc5a788e079df524c8d21
sports_videos_in_the_wild	SVW	Sports Videos in the Wild (SVW): A Video Dataset for Sports Analysis	Sports Videos in the Wild (SVW): A video dataset for sports analysis	[pdf]	[s2]	1a40092b493c6b8840257ab7f96051d1a4dbfeb2
stair_actions	STAIR Action	STAIR Actions: A Video Dataset of Everyday Home Actions	STAIR Actions: A Video Dataset of Everyday Home Actions	[pdf]	[s2]	d3f5a1848b0028d8ab51d0b0673732cad2e3c8c9
stanford_drone	Stanford Drone	Learning Social Etiquette: Human Trajectory Prediction In Crowded Scenes	Social LSTM: Human Trajectory Prediction in Crowded Spaces	[pdf]	[s2]	570f37ed63142312e6ccdf00ecc376341ec72b9f
stickmen_buffy	Buffy Stickmen	Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation	Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation	[pdf]	[s2]	4b1d23d17476fcf78f4cbadf69fb130b1aa627c0
stickmen_buffy	Buffy Stickmen	Learning to Parse Images of Articulated Objects	Learning to parse images of articulated bodies	[pdf]	[s2]	6dd0597f8513dc100cd0bc1b493768cde45098a9
stickmen_family	We Are Family Stickmen	We Are Family: Joint Pose Estimation of Multiple Persons	We Are Family: Joint Pose Estimation of Multiple Persons	[pdf]	[s2]	0dc11a37cadda92886c56a6fb5191ded62099c28
stickmen_pascal	Stickmen PASCAL	Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation	Learning to parse images of articulated bodies	[pdf]	[s2]	6dd0597f8513dc100cd0bc1b493768cde45098a9
stickmen_pascal	Stickmen PASCAL	Learning to Parse Images of Articulated Objects	Learning to parse images of articulated bodies	[pdf]	[s2]	6dd0597f8513dc100cd0bc1b493768cde45098a9
sun_attributes	SUN	The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding	The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding	[pdf]	[s2]	66e6f08873325d37e0ec20a4769ce881e04e964e
svs	SVS	Pedestrian Attribute Classification in Surveillance: Database and Evaluation	Pedestrian Attribute Classification in Surveillance: Database and Evaluation	[pdf]	[s2]	488e475eeb3bb39a145f23ede197cd3620f1d98a
texas_3dfrd	Texas 3DFRD	Anthropometric 3D Face Recognition	Anthropometric 3D Face Recognition	[pdf]	[s2]	2ce2560cf59db59ce313bbeb004e8ce55c5ce928
texas_3dfrd	Texas 3DFRD	Texas 3D Face Recognition Database	Texas 3D Face Recognition Database	[pdf]	[s2]	4d58f886f5150b2d5e48fd1b5a49e09799bf895d
tiny_faces	TinyFace	Low-Resolution Face Recognition	Low-Resolution Face Recognition	[pdf]	[s2]	8990cdce3f917dad622e43e033db686b354d057c
tiny_images	#N/A	80 million tiny images: a large dataset for non-parametric object and scene recognition	80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition	[pdf]	[s2]	31b58ced31f22eab10bd3ee2d9174e7c14c27c01
tisi	Times Square Intersection	Video Synopsis by Heterogeneous Multi-source Correlation	Video Synopsis by Heterogeneous Multi-source Correlation	[pdf]	[s2]	b6c293f0420f7e945b5916ae44269fb53e139275
tisi	Times Square Intersection	Learning from Multiple Sources for Video Summarisation	Learning from Multiple Sources for Video Summarisation	[pdf]	[s2]	287ddcb3db5562235d83aee318f318b8d5e43fb1
oxford_town_centre	TownCentre	Stable Multi-Target Tracking in Real-Time Surveillance Video	Stable multi-target tracking in real-time surveillance video	[pdf]	[s2]	9361b784e73e9238d5cefbea5ac40d35d1e3103f
tud_brussels	TUD-Brussels	Multi-Cue Onboard Pedestrian Detection	Multi-cue onboard pedestrian detection	[pdf]	[s2]	6ad5a38df8dd4cdddd74f31996ce096d41219f72
tud_campus	TUD-Campus	People-Tracking-by-Detection and People-Detection-by-Tracking	People-tracking-by-detection and people-detection-by-tracking	[pdf]	[s2]	3316521a5527c7700af8ae6aef32a79a8b83672c
tud_crossing	TUD-Crossing	People-Tracking-by-Detection and People-Detection-by-Tracking	People-tracking-by-detection and people-detection-by-tracking	[pdf]	[s2]	3316521a5527c7700af8ae6aef32a79a8b83672c
tud_motionpairs	TUD-Motionparis	Multi-Cue Onboard Pedestrian Detection	Multi-cue onboard pedestrian detection	[pdf]	[s2]	6ad5a38df8dd4cdddd74f31996ce096d41219f72
tud_pedestrian	TUD-Pedestrian	People-Tracking-by-Detection and People-Detection-by-Tracking	People-tracking-by-detection and people-detection-by-tracking	[pdf]	[s2]	3316521a5527c7700af8ae6aef32a79a8b83672c
tvhi	TVHI	High Five: Recognising human interactions in TV shows	High Five: Recognising human interactions in TV shows	[pdf]	[s2]	3cd40bfa1ff193a96bde0207e5140a399476466c
uccs	UCCS	Large scale unconstrained open set face database	Large scale unconstrained open set face database	[pdf]	[s2]	07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1
uccs	UCCS	Unconstrained Face Detection and Open-Set Face Recognition Challenge	Unconstrained Face Detection and Open-Set Face Recognition Challenge	[pdf]	[s2]	d4f1eb008eb80595bcfdac368e23ae9754e1e745
ucf_101	UCF101	UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild	UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild	[pdf]	[s2]	b5f2846a506fc417e7da43f6a7679146d99c5e96
ucf_crowd	UCF-CC-50	Multi-Source Multi-Scale Counting in Extremely Dense Crowd Images	Multi-source Multi-scale Counting in Extremely Dense Crowd Images	[pdf]	[s2]	32c801cb7fbeb742edfd94cccfca4934baec71da
ucf_selfie	UCF Selfie	How to Take a Good Selfie?	How to Take a Good Selfie?	[pdf]	[s2]	041d3eedf5e45ce5c5229f0181c5c576ed1fafd6
ufdd	UFDD	Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results	Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results	[pdf]	[s2]	3531332efe19be21e7401ba1f04570a142617236
umb	UMB	UMB-DB: A Database of Partially Occluded 3D Faces	UMB-DB: A database of partially occluded 3D faces	[pdf]	[s2]	16e8b0a1e8451d5f697b94c0c2b32a00abee1d52
umd_faces	UMD	UMDFaces: An Annotated Face Dataset for Training Deep Networks	UMDFaces: An annotated face dataset for training deep networks	[pdf]	[s2]	31b05f65405534a696a847dd19c621b7b8588263
umd_faces	UMD	The Do's and Don'ts for CNN-based Face Verification	The Do’s and Don’ts for CNN-Based Face Verification	[pdf]	[s2]	71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6
urban_tribes	Urban Tribes	From Bikers to Surfers: Visual Recognition of Urban Tribes	From Bikers to Surfers: Visual Recognition of Urban Tribes	[pdf]	[s2]	774cbb45968607a027ae4729077734db000a1ec5
vgg_celebs_in_places	CIP	Faces in Places: Compound Query Retrieval	Faces in Places: compound query retrieval	[pdf]	[s2]	7ebb153704706e457ab57b432793d2b6e5d12592
vgg_faces	VGG Face	Deep Face Recognition	Deep Face Recognition	[pdf]	[s2]	162ea969d1929ed180cc6de9f0bf116993ff6e06
vgg_faces2	VGG Face2	VGGFace2: A dataset for recognising faces across pose and age	VGGFace2: A Dataset for Recognising Faces across Pose and Age	[pdf]	[s2]	70c59dc3470ae867016f6ab0e008ac8ba03774a1
viper	VIPeR	Evaluating Appearance Models for Recognition, Reacquisition, and Tracking	Evaluating Appearance Models for Recognition, Reacquisition, and Tracking	[pdf]	[s2]	6273b3491e94ea4dd1ce42b791d77bdc96ee73a8
voc	VOC	The PASCAL Visual Object Classes (VOC) Challenge	The Pascal Visual Object Classes (VOC) Challenge	[pdf]	[s2]	0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a
voxceleb2	VoxCeleb2	VoxCeleb2: Deep Speaker Recognition	VoxCeleb2: Deep Speaker Recognition.	[pdf]	[s2]	8875ae233bc074f5cd6c4ebba447b536a7e847a5
vqa	VQA	VQA: Visual Question Answering	VQA: Visual Question Answering	[pdf]	[s2]	01959ef569f74c286956024866c1d107099199f7
wider	WIDER	Recognize Complex Events from Static Images by Fusing Deep Channels	Recognize complex events from static images by fusing deep channels	[pdf]	[s2]	356b431d4f7a2a0a38cf971c84568207dcdbf189
wider_attribute	WIDER Attribute	Human Attribute Recognition by Deep Hierarchical Contexts	Human Attribute Recognition by Deep Hierarchical Contexts	[pdf]	[s2]	44d23df380af207f5ac5b41459c722c87283e1eb
wider_face	WIDER FACE	WIDER FACE: A Face Detection Benchmark	WIDER FACE: A Face Detection Benchmark	[pdf]	[s2]	52d7eb0fbc3522434c13cc247549f74bb9609c5d
wildtrack	WildTrack	WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection	WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection	[pdf]	[s2]	36bccfb2ad847096bc76777e544f305813cd8f5b
wlfdb	WLFDB	WLFDB: Weakly Labeled Face Databases	WLFDB : Weakly Labeled Face Databases	[pdf]	[s2]	5ad4e9f947c1653c247d418f05dad758a3f9277b
yale_faces	YaleFaces	From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose	From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose	[pdf]	[s2]	18c72175ddbb7d5956d180b65a96005c100f6014
yale_faces	YaleFaces	Acquiring Linear Subspaces for Face Recognition under Variable Lighting	Acquiring linear subspaces for face recognition under variable lighting	[pdf]	[s2]	2ad0ee93d029e790ebb50574f403a09854b65b7e
yawdd	YawDD	YawDD: A Yawning Detection Dataset	YawDD: a yawning detection dataset	[pdf]	[s2]	a94cae786d515d3450d48267e12ca954aab791c4
yfcc_100m	YFCC100M	YFCC100M: The New Data in Multimedia Research	YFCC100M: the new data in multimedia research	[pdf]	[s2]	010f0f4929e6a6644fb01f0e43820f91d0fad292
york_3d	UOY 3D Face Database	Three-Dimensional Face Recognition: An Eigensurface Approach	Three-dimensional face recognition: an eigensurface approach	[pdf]	[s2]	19d1b811df60f86cbd5e04a094b07f32fff7a32a
youtube_faces	YouTubeFaces	Face Recognition in Unconstrained Videos with Matched Background Similarity	Face recognition in unconstrained videos with matched background similarity	[pdf]	[s2]	560e0e58d0059259ddf86fcec1fa7975dee6a868
youtube_poses	YouTube Pose	Personalizing Human Video Pose Estimation	Personalizing Human Video Pose Estimation	[pdf]	[s2]	1c2802c2199b6d15ecefe7ba0c39bfe44363de38
flickr_faces	FFHQ	A Style-Based Generator Architecture for Generative Adversarial Networks	A Style-Based Generator Architecture for Generative Adversarial Networks	[pdf]	[s2]	ceb2ebef0b41e31c1a21b28c2734123900c005e2

\ No newline at end of file +Papers with no location

Papers with no location

key	name	our title	found title			s2 id
10k_US_adult_faces	10K US Adult Faces	The intrinsic memorability of face images	The intrinsic memorability of face photographs.	[pdf]	[s2]	8b2dd5c61b23ead5ae5508bb8ce808b5ea266730
3d_rma	3D-RMA	Automatic 3D Face Authentication	Automatic 3D face authentication	[pdf]	[s2]	2160788824c4c29ffe213b2cbeb3f52972d73f37
3dddb_unconstrained	3D Dynamic	A 3D Dynamic Database for Unconstrained Face Recognition	A 3D Dynamic Database for Unconstrained Face Recognition	[pdf]	[s2]	4d4bb462c9f1d4e4ab1e4aa6a75cc0bc71b38461
3dpes	3DPeS	3DPes: 3D People Dataset for Surveillance and Forensics	3DPeS: 3D people dataset for surveillance and forensics	[pdf]	[s2]	2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e
4dfab	4DFAB	4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications	4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications	[pdf]	[s2]	a40f9bfd3c45658ee8da70e1f2dfbe1f0c744d43
fpoq	50 People One Question	Merging Pose Estimates Across Space and Time	Merging Pose Estimates Across Space and Time	[pdf]	[s2]	5753b2b5e442eaa3be066daa4a2ca8d8a0bb1725
adience	Adience	Age and Gender Estimation of Unfiltered Faces	Age and Gender Estimation of Unfiltered Faces	[pdf]	[s2]	1be498d4bbc30c3bfd0029114c784bc2114d67c0
afad	AFAD	Ordinal Regression with a Multiple Output CNN for Age Estimation	Ordinal Regression with Multiple Output CNN for Age Estimation	[pdf]	[s2]	6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c
afew_va	AFEW-VA	AFEW-VA database for valence and arousal estimation in-the-wild	AFEW-VA database for valence and arousal estimation in-the-wild	[pdf]	[s2]	2624d84503bc2f8e190e061c5480b6aa4d89277a
affectnet	AffectNet	AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild	AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild	[pdf]	[s2]	758d7e1be64cc668c59ef33ba8882c8597406e53
aflw	AFLW	Annotated Facial Landmarks in the Wild: A Large-scale, Real-world Database for Facial Landmark Localization	Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization	[pdf]	[s2]	a74251efa970b92925b89eeef50a5e37d9281ad0
afw	AFW	Face detection, pose estimation and landmark localization in the wild	Face detection, pose estimation, and landmark localization in the wild	[pdf]	[s2]	0e986f51fe45b00633de9fd0c94d082d2be51406
agedb	AgeDB	AgeDB: the first manually collected, in-the-wild age database	AgeDB: The First Manually Collected, In-the-Wild Age Database	[pdf]	[s2]	d818568838433a6d6831adde49a58cef05e0c89f
alert_airport	ALERT Airport	A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets	A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets	[pdf]	[s2]	6403117f9c005ae81f1e8e6d1302f4a045e3d99d
am_fed	AM-FED	Affectiva MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected “In the Wild”	Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected "In-the-Wild"	[pdf]	[s2]	47aeb3b82f54b5ae8142b4bdda7b614433e69b9a
apis	APiS1.0	Pedestrian Attribute Classification in Surveillance: Database and Evaluation	Pedestrian Attribute Classification in Surveillance: Database and Evaluation	[pdf]	[s2]	488e475eeb3bb39a145f23ede197cd3620f1d98a
appa_real	APPA-REAL	Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database	Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database	[pdf]	[s2]	633c851ebf625ad7abdda2324e9de093cf623141
appa_real	APPA-REAL	From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation	From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation	[pdf]	[s2]	7b92d1e53cc87f7a4256695de590098a2f30261e
ar_facedb	AR Face	The AR Face Database	The AR face database	[pdf]	[s2]	6d96f946aaabc734af7fe3fc4454cf8547fcd5ed
awe_ears	AWE Ears	Ear Recognition: More Than a Survey	Ear Recognition: More Than a Survey	[pdf]	[s2]	84fe5b4ac805af63206012d29523a1e033bc827e
b3d_ac	B3D(AC)	A 3-D Audio-Visual Corpus of Affective Communication	A 3-D Audio-Visual Corpus of Affective Communication	[pdf]	[s2]	d08cc366a4a0192a01e9a7495af1eb5d9f9e73ae
bbc_pose	BBC Pose	Automatic and Efficient Human Pose Estimation for Sign Language Videos	Automatic and Efficient Human Pose Estimation for Sign Language Videos	[pdf]	[s2]	213a579af9e4f57f071b884aa872651372b661fd
bfm	BFM	A 3D Face Model for Pose and Illumination Invariant Face Recognition	A 3D Face Model for Pose and Illumination Invariant Face Recognition	[pdf]	[s2]	639937b3a1b8bded3f7e9a40e85bd3770016cf3c
bio_id	BioID Face	Robust Face Detection Using the Hausdorff Distance	Robust Face Detection Using the Hausdorff Distance	[pdf]	[s2]	4053e3423fb70ad9140ca89351df49675197196a
bosphorus	The Bosphorus	Bosphorus Database for 3D Face Analysis	Bosphorus Database for 3D Face Analysis	[pdf]	[s2]	2acf7e58f0a526b957be2099c10aab693f795973
bp4d_plus	BP4D+	Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis	Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis	[pdf]	[s2]	53ae38a6bb2b21b42bac4f0c4c8ed1f9fa02f9d4
bpad	BPAD	Describing People: A Poselet-Based Approach to Attribute Classification	Describing people: A poselet-based approach to attribute classification	[pdf]	[s2]	7808937b46acad36e43c30ae4e9f3fd57462853d
brainwash	Brainwash	End-to-End People Detection in Crowded Scenes	End-to-End People Detection in Crowded Scenes	[pdf]	[s2]	1bd1645a629f1b612960ab9bba276afd4cf7c666
bu_3dfe	BU-3DFE	A 3D Facial Expression Database For Facial Behavior Research	A 3D facial expression database for facial behavior research	[pdf]	[s2]	cc589c499dcf323fe4a143bbef0074c3e31f9b60
cacd		Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval	Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval	[pdf]	[s2]	c44c84540db1c38ace232ef34b03bda1c81ba039
cafe	#N/A	The Child Affective Facial Expression (CAFE) Set: Validity and reliability from untrained adults	The Child Affective Facial Expression (CAFE) set: validity and reliability from untrained adults	[pdf]	[s2]	20388099cc415c772926e47bcbbe554e133343d1
caltech_10k_web_faces	Caltech 10K Web Faces	Pruning Training Sets for Learning of Object Categories	Pruning training sets for learning of object categories	[pdf]	[s2]	636b8ffc09b1b23ff714ac8350bb35635e49fa3c
caltech_crp	Caltech CRP	Fine-grained classification of pedestrians in video: Benchmark and state of the art	Fine-grained classification of pedestrians in video: Benchmark and state of the art	[pdf]	[s2]	060820f110a72cbf02c14a6d1085bd6e1d994f6a
caltech_pedestrians	Caltech Pedestrians	Pedestrian Detection: A Benchmark	Pedestrian detection: A benchmark	[pdf]	[s2]	1dc35905a1deff8bc74688f2d7e2f48fd2273275
cas_peal	CAS-PEAL	The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations	The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations	[pdf]	[s2]	2485c98aa44131d1a2f7d1355b1e372f2bb148ad
casablanca	Casablanca	Context-aware {CNNs} for person head detection	Context-Aware CNNs for Person Head Detection	[pdf]	[s2]	0ceda9dae8b9f322df65ca2ef02caca9758aec6f
casia_webface	CASIA Webface	Learning Face Representation from Scratch	Learning Face Representation from Scratch	[pdf]	[s2]	853bd61bc48a431b9b1c7cab10c603830c488e39
celeba	CelebA	Deep Learning Face Attributes in the Wild	Deep Learning Face Attributes in the Wild	[pdf]	[s2]	6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4
cfd	CFD	The Chicago face database: A free stimulus set of faces and norming data	The Chicago face database: A free stimulus set of faces and norming data.	[pdf]	[s2]	4df3143922bcdf7db78eb91e6b5359d6ada004d2
chalearn	ChaLearn	ChaLearn Looking at People: A Review of Events and Resources	ChaLearn looking at people: A review of events and resources	[pdf]	[s2]	8d5998cd984e7cce307da7d46f155f9db99c6590
chokepoint	ChokePoint	Patch-based Probabilistic Image Quality Assessment for Face Selection and Improved Video-based Face Recognition	Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition	[pdf]	[s2]	0486214fb58ee9a04edfe7d6a74c6d0f661a7668
clothing_co_parsing	CCP	Clothing Co-Parsing by Joint Image Segmentation and Labeling	Clothing Co-parsing by Joint Image Segmentation and Labeling	[pdf]	[s2]	2bf8541199728262f78d4dced6fb91479b39b738
cmdp	CMDP	Distance Estimation of an Unknown Person from a Portrait	Distance Estimation of an Unknown Person from a Portrait	[pdf]	[s2]	56ae6d94fc6097ec4ca861f0daa87941d1c10b70
cmu_pie	CMU PIE	The CMU Pose, Illumination, and Expression Database	The CMU Pose, Illumination, and Expression (PIE) Database	[pdf]	[s2]	4d423acc78273b75134e2afd1777ba6d3a398973
coco	COCO	Microsoft COCO: Common Objects in Context	Microsoft COCO: Common Objects in Context	[pdf]	[s2]	5e0f8c355a37a5a89351c02f174e7a5ddcb98683
coco_action	COCO-a	Describing Common Human Visual Actions in Images	Describing Common Human Visual Actions in Images	[pdf]	[s2]	4946ba10a4d5a7d0a38372f23e6622bd347ae273
coco_qa	COCO QA	Exploring Models and Data for Image Question Answering	Exploring Models and Data for Image Question Answering	[pdf]	[s2]	35b0331dfcd2897abd5749b49ff5e2b8ba0f7a62
cofw	COFW	Robust face landmark estimation under occlusion	Robust Face Landmark Estimation under Occlusion	[pdf]	[s2]	2724ba85ec4a66de18da33925e537f3902f21249
cohn_kanade	CK	Comprehensive Database for Facial Expression Analysis	Comprehensive Database for Facial Expression Analysis	[pdf]	[s2]	23fc83c8cfff14a16df7ca497661264fc54ed746
complex_activities	Ongoing Complex Activities	Recognition of Ongoing Complex Activities by Sequence Prediction over a Hierarchical Label Space	Recognition of ongoing complex activities by sequence prediction over a hierarchical label space	[pdf]	[s2]	65355cbb581a219bd7461d48b3afd115263ea760
cuhk_campus_03	CUHK03 Campus	Human Reidentification with Transferred Metric Learning	Human Reidentification with Transferred Metric Learning	[pdf]	[s2]	44484d2866f222bbb9b6b0870890f9eea1ffb2d0
cuhk_campus_03	CUHK03 Campus	Locally Aligned Feature Transforms across Views	Locally Aligned Feature Transforms across Views	[pdf]	[s2]	38b55d95189c5e69cf4ab45098a48fba407609b4
cuhk_campus_03	CUHK03 Campus	DeepReID: Deep Filter Pairing Neural Network for Person Re-identification	DeepReID: Deep Filter Pairing Neural Network for Person Re-identification	[pdf]	[s2]	6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3
cvc_01_barcelona	CVC-01	Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection	Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection	[pdf]	[s2]	57fe081950f21ca03b5b375ae3e84b399c015861
ufi	UFI	Unconstrained Facial Images: Database for Face Recognition under Real-world Conditions	Unconstrained Facial Images: Database for Face Recognition Under Real-World Conditions	[pdf]	[s2]	4b4106614c1d553365bad75d7866bff0de6056ed
d3dfacs	D3DFACS	A FACS Valid 3D Dynamic Action Unit database with Applications to 3D Dynamic Morphable Facial Modelling	A FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling	[pdf]	[s2]	070de852bc6eb275d7ca3a9cdde8f6be8795d1a3
dartmouth_children	Dartmouth Children	The Dartmouth Database of Children's Faces: Acquisition and validation of a new face stimulus set	The Dartmouth Database of Children’s Faces: Acquisition and Validation of a New Face Stimulus Set	[pdf]	[s2]	4e6ee936eb50dd032f7138702fa39b7c18ee8907
data_61	Data61 Pedestrian	A Multi-Modal Graphical Model for Scene Analysis	A Multi-modal Graphical Model for Scene Analysis	[pdf]	[s2]	563c940054e4b456661762c1ab858e6f730c3159
deep_fashion	DeepFashion	DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations	DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations	[pdf]	[s2]	18010284894ed0edcca74e5bf768ee2e15ef7841
deep_fashion	DeepFashion	Fashion Landmark Detection in the Wild	Fashion Landmark Detection in the Wild	[pdf]	[s2]	4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7
distance_nighttime	Long Distance Heterogeneous Face	Nighttime Face Recognition at Long Distance: Cross-distance and Cross-spectral Matching	Nighttime Face Recognition at Long Distance: Cross-Distance and Cross-Spectral Matching	[pdf]	[s2]	4156b7e88f2e0ab0a7c095b9bab199ae2b23bd06
duke_mtmc	Duke MTMC	Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking	Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking	[pdf]	[s2]	27a2fad58dd8727e280f97036e0d2bc55ef5424c
duke_mtmc	Duke MTMC	Improving Person Re-identification by Attribute and Identity Learning	Improving Person Re-identification by Attribute and Identity Learning	[pdf]	[s2]	7f23a4bb0c777dd72cca7665a5f370ac7980217e
duke_mtmc	Duke MTMC	Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro	Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro	[pdf]	[s2]	15e1af79939dbf90790b03d8aa02477783fb1d0f
duke_mtmc	Duke MTMC	Tracking Multiple People Online and in Real Time	Tracking Multiple People Online and in Real Time	[pdf]	[s2]	64e0690dd176a93de9d4328f6e31fc4afe1e7536
emotio_net	EmotioNet Database	EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild	EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild	[pdf]	[s2]	c900e0ad4c95948baaf0acd8449fde26f9b4952a
erce	ERCe	Video Synopsis by Heterogeneous Multi-source Correlation	Video Synopsis by Heterogeneous Multi-source Correlation	[pdf]	[s2]	b6c293f0420f7e945b5916ae44269fb53e139275
erce	ERCe	Learning from Multiple Sources for Video Summarisation	Learning from Multiple Sources for Video Summarisation	[pdf]	[s2]	287ddcb3db5562235d83aee318f318b8d5e43fb1
europersons	EuroCity Persons	The EuroCity Persons Dataset: A Novel Benchmark for Object Detection	The EuroCity Persons Dataset: A Novel Benchmark for Object Detection	[pdf]	[s2]	72a155c987816ae81c858fddbd6beab656d86220
expw	ExpW	From Facial Expression Recognition to Interpersonal Relation Prediction	From Facial Expression Recognition to Interpersonal Relation Prediction	[pdf]	[s2]	22f656d0f8426c84a33a267977f511f127bfd7f3
face_scrub	FaceScrub	A data-driven approach to cleaning large face datasets	A data-driven approach to cleaning large face datasets	[pdf]	[s2]	0d3bb75852098b25d90f31d2f48fd0cb4944702b
face_tracer	FaceTracer	FaceTracer: A Search Engine for Large Collections of Images with Faces	FaceTracer: A Search Engine for Large Collections of Images with Faces	[pdf]	[s2]	4c170a0dcc8de75587dae21ca508dab2f9343974
face_tracer	FaceTracer	Face Swapping: Automatically Replacing Faces in Photographs	Face swapping: automatically replacing faces in photographs	[pdf]	[s2]	670637d0303a863c1548d5b19f705860a23e285c
faceplace	Face Place	Recognizing disguised faces	Recognizing disguised faces	[pdf]	[s2]	25474c21613607f6bb7687a281d5f9d4ffa1f9f3
fddb	FDDB	FDDB: A Benchmark for Face Detection in Unconstrained Settings	FDDB: A benchmark for face detection in unconstrained settings	[pdf]	[s2]	75da1df4ed319926c544eefe17ec8d720feef8c0
fei	FEI	Captura e Alinhamento de Imagens: Um Banco de Faces Brasileiro	A new ranking method for principal components analysis and its application to face image analysis	[pdf]	[s2]	8b56e33f33e582f3e473dba573a16b598ed9bcdc
feret	FERET	The FERET Verification Testing Protocol for Face Recognition Algorithms	The FERET Verification Testing Protocol for Face Recognition Algorithms	[pdf]	[s2]	0c4a139bb87c6743c7905b29a3cfec27a5130652
feret	FERET	The FERET Evaluation Methodology for Face-Recognition Algorithms	The FERET Evaluation Methodology for Face-Recognition Algorithms	[pdf]	[s2]	0f0fcf041559703998abf310e56f8a2f90ee6f21
feret	FERET	FERET ( Face Recognition Technology ) Recognition Algorithm Development and Test Results	FERET ( Face Recognition Technology ) Recognition Algorithm Development and Test Results	[pdf]	[s2]	31de9b3dd6106ce6eec9a35991b2b9083395fd0b
feret	FERET	The FERET database and evaluation procedure for face-recognition algorithms	The FERET database and evaluation procedure for face-recognition algorithms	[pdf]	[s2]	dc8b25e35a3acb812beb499844734081722319b4
ferplus	FER+	Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution	Training deep networks for facial expression recognition with crowd-sourced label distribution	[pdf]	[s2]	298cbc3dfbbb3a20af4eed97906650a4ea1c29e0
fia	CMU FiA	The CMU Face In Action (FIA) Database	The CMU Face In Action (FIA) Database	[pdf]	[s2]	47662d1a368daf70ba70ef2d59eb6209f98b675d
fiw_300	300-W	A semi-automatic methodology for facial landmark annotation	A Semi-automatic Methodology for Facial Landmark Annotation	[pdf]	[s2]	013909077ad843eb6df7a3e8e290cfd5575999d2
fiw_300	300-W	300 Faces in-the-Wild Challenge: The first facial landmark localization Challenge	300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge	[pdf]	[s2]	044d9a8c61383312cdafbcc44b9d00d650b21c70
fiw_300	300-W	300 faces In-the-wild challenge: Database and results	300 Faces In-The-Wild Challenge: database and results	[pdf]	[s2]	e4754afaa15b1b53e70743880484b8d0736990ff
geofaces	GeoFaces	FACE2GPS: Estimating geographic location from facial features	Exploring the geo-dependence of human face appearance	[pdf]	[s2]	2cd7821fcf5fae53a185624f7eeda007434ae037
geofaces	GeoFaces	Large-scale geo-facial image analysis	Large-scale geo-facial image analysis	[pdf]	[s2]	4af89578ac237278be310f7660a408b03f12d603
geofaces	GeoFaces	Exploring the Geo-Dependence of Human Face Appearance	Exploring the geo-dependence of human face appearance	[pdf]	[s2]	2cd7821fcf5fae53a185624f7eeda007434ae037
geofaces	GeoFaces	GeoFaceExplorer: Exploring the Geo-Dependence of Facial Attributes	GeoFaceExplorer: exploring the geo-dependence of facial attributes	[pdf]	[s2]	17b46e2dad927836c689d6787ddb3387c6159ece
georgia_tech_face_database	Georgia Tech Face	Maximum likelihood training of the embedded HMM for face detection and recognition	Maximum Likelihood Training of the Embedded HMM for Face Detection and Recognition	[pdf]	[s2]	3dc3f0b64ef80f573e3a5f96e456e52ee980b877
gfw	Grouping Face in the Wild	Merge or Not? Learning to Group Faces via Imitation Learning	Merge or Not? Learning to Group Faces via Imitation Learning	[pdf]	[s2]	e58dd160a76349d46f881bd6ddbc2921f08d1050
graz	Graz Pedestrian	Weak Hypotheses and Boosting for Generic Object Detection and Recognition	Weak Hypotheses and Boosting for Generic Object Detection and Recognition	[pdf]	[s2]	0c91808994a250d7be332400a534a9291ca3b60e
h3d	H3D	Poselets: Body Part Detectors Trained Using 3D Human Pose Annotations	Poselets: Body part detectors trained using 3D human pose annotations	[pdf]	[s2]	2830fb5282de23d7784b4b4bc37065d27839a412
hda_plus	HDA+	The HDA+ data set for research on fully automated re-identification systems	The HDA+ Data Set for Research on Fully Automated Re-identification Systems	[pdf]	[s2]	8f02ec0be21461fbcedf51d864f944cfc42c875f
hda_plus	HDA+	A Multi-camera video data set for research on High-Definition surveillance	HDA dataset-DRAFT 1 A Multi-camera video data set for research on High-Definition surveillance	[pdf]	[s2]	bd88bb2e4f351352d88ee7375af834360e223498
helen	Helen	Interactive Facial Feature Localization	Interactive Facial Feature Localization	[pdf]	[s2]	95f12d27c3b4914e0668a268360948bce92f7db3
hi4d_adsip	Hi4D-ADSIP	Hi4D-ADSIP 3-D dynamic facial articulation database	Hi4D-ADSIP 3-D dynamic facial articulation database	[pdf]	[s2]	a8d0b149c2eadaa02204d3e4356fbc8eccf3b315
hipsterwars	Hipsterwars	Hipster Wars: Discovering Elements of Fashion Styles	Hipster Wars: Discovering Elements of Fashion Styles	[pdf]	[s2]	04c2cda00e5536f4b1508cbd80041e9552880e67
hollywood_headset	HollywoodHeads	Context-aware CNNs for person head detection	Context-Aware CNNs for Person Head Detection	[pdf]	[s2]	0ceda9dae8b9f322df65ca2ef02caca9758aec6f
hrt_transgender	HRT Transgender	Is the Eye Region More Reliable Than the Face? A Preliminary Study of Face-based Recognition on a Transgender Dataset	Is the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset	[pdf]	[s2]	137aa2f891d474fce1e7a1d1e9b3aefe21e22b34
ibm_dif	IBM Diversity in Faces	Diversity in Faces	Facial Coding Scheme Reference 1 Craniofacial Distances	[pdf]	[s2]	0ab7cff2ccda7269b73ff6efd9d37e1318f7db25
ifad	IFAD	Indian Face Age Database: A Database for Face Recognition with Age Variation	Indian Face Age Database: A Database for Face Recognition with Age Variation	[pdf]	[s2]	55c40cbcf49a0225e72d911d762c27bb1c2d14aa
ifdb	IFDB	Iranian Face Database and Evaluation with a New Detection Algorithm	Iranian Face Database and Evaluation with a New Detection Algorithm	[pdf]	[s2]	066d71fcd997033dce4ca58df924397dfe0b5fd1
iit_dehli_ear	IIT Dehli Ear	Automated human identification using ear imaging	Automated Human Identification Using Ear Imaging	[pdf]	[s2]	faf40ce28857aedf183e193486f5b4b0a8c478a2
ijb_b	IJB-B	IARPA Janus Benchmark-B Face Dataset	IARPA Janus Benchmark-B Face Dataset	[pdf]	[s2]	0cb2dd5f178e3a297a0c33068961018659d0f443
ijb_a	IJB-A	Pushing the Frontiers of Unconstrained Face Detection and Recognition: IARPA Janus Benchmark A	Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A	[pdf]	[s2]	140c95e53c619eac594d70f6369f518adfea12ef
ijb_c	IJB-C	IARPA Janus Benchmark C	IARPA Janus Benchmark - C: Face Dataset and Protocol	[pdf]	[s2]	57178b36c21fd7f4529ac6748614bb3374714e91
ilids_mcts	i-LIDS Multiple-Camera	Imagery Library for Intelligent Detection Systems: The i-LIDS User Guide	Imagery Library for Intelligent Detection Systems (i-LIDS); A Standard for Testing Video Based Detection Systems	[pdf]	[s2]	0297448f3ed948e136bb06ceff10eccb34e5bb77
ilids_mcts_vid	iLIDS-VID	Person Re-Identication by Video Ranking	Person Re-identification by Video Ranking	[pdf]	[s2]	98bb029afe2a1239c3fdab517323066f0957b81b
imdb_face	IMDb Face	The Devil of Face Recognition is in the Noise	The Devil of Face Recognition is in the Noise	[pdf]	[s2]	9e31e77f9543ab42474ba4e9330676e18c242e72
imdb_wiki	IMDB-Wiki	Deep expectation of real and apparent age from a single image without facial landmarks	Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks	[pdf]	[s2]	10195a163ab6348eef37213a46f60a3d87f289c5
imdb_wiki	IMDB-Wiki	DEX: Deep EXpectation of apparent age from a single image	DEX: Deep EXpectation of Apparent Age from a Single Image	[pdf]	[s2]	8355d095d3534ef511a9af68a3b2893339e3f96b
immediacy	Immediacy	Multi-task Recurrent Neural Network for Immediacy Prediction	Multi-task Recurrent Neural Network for Immediacy Prediction	[pdf]	[s2]	1e3df3ca8feab0b36fd293fe689f93bb2aaac591
imsitu	imSitu	Situation Recognition: Visual Semantic Role Labeling for Image Understanding	Situation Recognition: Visual Semantic Role Labeling for Image Understanding	[pdf]	[s2]	51eba481dac6b229a7490f650dff7b17ce05df73
jaffe	JAFFE	Coding Facial Expressions with Gabor Wavelets	Coding Facial Expressions with Gabor Wavelets	[pdf]	[s2]	45c31cde87258414f33412b3b12fc5bec7cb3ba9
jpl_pose	JPL-Interaction dataset	First-Person Activity Recognition: What Are They Doing to Me?	First-Person Activity Recognition: What Are They Doing to Me?	[pdf]	[s2]	1aad2da473888cb7ebc1bfaa15bfa0f1502ce005
kin_face	UB KinFace	Understanding Kin Relationships in a Photo	Understanding Kin Relationships in a Photo	[pdf]	[s2]	08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7
kin_face	UB KinFace	Kinship Verification through Transfer Learning	Kinship Verification through Transfer Learning	[pdf]	[s2]	4793f11fbca4a7dba898b9fff68f70d868e2497c
kitti	KITTI	Vision meets Robotics: The KITTI Dataset	Vision meets robotics: The KITTI dataset	[pdf]	[s2]	026e3363b7f76b51cc711886597a44d5f1fd1de2
lag	LAG	Large Age-Gap Face Verification by Feature Injection in Deep Networks	Large age-gap face verification by feature injection in deep networks	[pdf]	[s2]	0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e
laofiw	LAOFIW	Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings	Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings	[pdf]	[s2]	4eab317b5ac436a949849ed286baa3de2a541eef
large_scale_person_search	Large Scale Person Search	End-to-End Deep Learning for Person Search	End-to-End Deep Learning for Person Search	[pdf]	[s2]	2161f6b7ee3c0acc81603b01dc0df689683577b9
leeds_sports_pose	Leeds Sports Pose	Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation	Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation	[pdf]	[s2]	4b1d23d17476fcf78f4cbadf69fb130b1aa627c0
lfpw	LFPW	Localizing Parts of Faces Using a Consensus of Exemplars	Localizing Parts of Faces Using a Consensus of Exemplars	[pdf]	[s2]	140438a77a771a8fb656b39a78ff488066eb6b50
lfw	LFW	Labeled Faces in the Wild: Updates and New Reporting Procedures	Labeled Faces in the Wild : Updates and New Reporting Procedures	[pdf]	[s2]	2d3482dcff69c7417c7b933f22de606a0e8e42d4
lfw	LFW	Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments	Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments	[pdf]	[s2]	370b5757a5379b15e30d619e4d3fb9e8e13f3256
lfw	LFW	Labeled Faces in the Wild: A Survey	Labeled Faces in the Wild: A Survey	[pdf]	[s2]	7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22
lfw	LFW	Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics	Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics	[pdf]	[s2]	133f01aec1534604d184d56de866a4bd531dac87
m2vtsdb_extended	xm2vtsdb	XM2VTSDB: The Extended M2VTS Database	XM2VTSDB : The extended M2VTS database	[pdf]	[s2]	b62628ac06bbac998a3ab825324a41a11bc3a988
mafa	MAsked FAces	Detecting Masked Faces in the Wild with LLE-CNNs	Detecting Masked Faces in the Wild with LLE-CNNs	[pdf]	[s2]	9cc8cf0c7d7fa7607659921b6ff657e17e135ecc
mafl	MAFL	Facial Landmark Detection by Deep Multi-task Learning	Facial Landmark Detection by Deep Multi-task Learning	[pdf]	[s2]	8a3c5507237957d013a0fe0f082cab7f757af6ee
mafl	MAFL	Learning Deep Representation for Face Alignment with Auxiliary Attributes	Learning Deep Representation for Face Alignment with Auxiliary Attributes	[pdf]	[s2]	a0fd85b3400c7b3e11122f44dc5870ae2de9009a
malf	MALF	Fine-grained Evaluation on Face Detection in the Wild.	Fine-grained evaluation on face detection in the wild	[pdf]	[s2]	45e616093a92e5f1e61a7c6037d5f637aa8964af
mapillary	Mapillary	The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes	The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes	[pdf]	[s2]	79828e6e9f137a583082b8b5a9dfce0c301989b8
market_1501	Market 1501	Improving Person Re-identification by Attribute and Identity Learning	Improving Person Re-identification by Attribute and Identity Learning	[pdf]	[s2]	7f23a4bb0c777dd72cca7665a5f370ac7980217e
market_1501	Market 1501	Scalable Person Re-identification: A Benchmark	Scalable Person Re-identification: A Benchmark	[pdf]	[s2]	4308bd8c28e37e2ed9a3fcfe74d5436cce34b410
market_1501	Market 1501	Orientation Driven Bag of Appearances for Person Re-identification	Orientation Driven Bag of Appearances for Person Re-identification	[pdf]	[s2]	a7fe834a0af614ce6b50dc093132b031dd9a856b
mars	MARS	MARS: A Video Benchmark for Large-Scale Person Re-identification	MARS: A Video Benchmark for Large-Scale Person Re-Identification	[pdf]	[s2]	c0387e788a52f10bf35d4d50659cfa515d89fbec
mcgill	McGill Real World	Hierarchical Temporal Graphical Model for Head Pose Estimation and Subsequent Attribute Classification in Real-World Videos	Hierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos	[pdf]	[s2]	2d45cfd838016a6e39f6b766ffe85acd649440c7
megaage	MegaAge	Quantifying Facial Age by Posterior of Age Comparisons	Quantifying Facial Age by Posterior of Age Comparisons	[pdf]	[s2]	8fee9b8c44626c4ac6b96ef183394bc4f36dc95f
megaface	MegaFace	Level Playing Field for Million Scale Face Recognition	Level Playing Field for Million Scale Face Recognition	[pdf]	[s2]	15af83373274f4b4c5976c5f384ea0a5c124b287
megaface	MegaFace	Level Playing Field for Million Scale Face Recognition	Level Playing Field for Million Scale Face Recognition	[pdf]	[s2]	15af83373274f4b4c5976c5f384ea0a5c124b287
megaface	MegaFace	The MegaFace Benchmark: 1 Million Faces for Recognition at Scale	The MegaFace Benchmark: 1 Million Faces for Recognition at Scale	[pdf]	[s2]	96e0cfcd81cdeb8282e29ef9ec9962b125f379b0
mit_cbcl	MIT CBCL	Component-based Face Recognition with 3D Morphable Models	Component-Based Face Recognition with 3D Morphable Models	[pdf]	[s2]	079a0a3bf5200994e1f972b1b9197bf2f90e87d4
mmi_facial_expression	MMI Facial Expression Dataset	WEB-BASED DATABASE FOR FACIAL EXPRESSION ANALYSIS	Web-based database for facial expression analysis	[pdf]	[s2]	2a75f34663a60ab1b04a0049ed1d14335129e908
moments_in_time	Moments in Time	Moments in Time Dataset: one million videos for event understanding	Moments in Time Dataset: one million videos for event understanding	[pdf]	[s2]	41976ebc8ab76d9a6861487c97cc7fcbe3b6015f
morph	MORPH Commercial	MORPH: A Longitudinal Image Database of Normal Adult Age-Progression	MORPH: a longitudinal image database of normal adult age-progression	[pdf]	[s2]	9055b155cbabdce3b98e16e5ac9c0edf00f9552f
morph_nc	MORPH-II	MORPH: A Longitudinal Image Database of Normal Adult Age-Progression	MORPH: a longitudinal image database of normal adult age-progression	[pdf]	[s2]	9055b155cbabdce3b98e16e5ac9c0edf00f9552f
mot	MOT	Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics	Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics	[pdf]	[s2]	2258e01865367018ed6f4262c880df85b94959f8
mot	MOT	Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking	Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking	[pdf]	[s2]	27a2fad58dd8727e280f97036e0d2bc55ef5424c
mpi_large	Large MPI Facial Expression	The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions	The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions	[pdf]	[s2]	ea050801199f98a1c7c1df6769f23f658299a3ae
mpi_small	Small MPI Facial Expression	The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions	The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions	[pdf]	[s2]	ea050801199f98a1c7c1df6769f23f658299a3ae
mpii_gaze	MPIIGaze	Appearance-based Gaze Estimation in the Wild	Appearance-based gaze estimation in the wild	[pdf]	[s2]	0df0d1adea39a5bef318b74faa37de7f3e00b452
mpii_human_pose	MPII Human Pose	2D Human Pose Estimation: New Benchmark and State of the Art Analysis	2D Human Pose Estimation: New Benchmark and State of the Art Analysis	[pdf]	[s2]	3325860c0c82a93b2eac654f5324dd6a776f609e
mr2	MR2	The MR2: A multi-racial mega-resolution database of facial stimuli	The MR2: A multi-racial, mega-resolution database of facial stimuli.	[pdf]	[s2]	578d4ad74818086bb64f182f72e2c8bd31e3d426
mrp_drone	MRP Drone	Investigating Open-World Person Re-identification Using a Drone	Investigating Open-World Person Re-identification Using a Drone	[pdf]	[s2]	ad01687649d95cd5b56d7399a9603c4b8e2217d7
msceleb	MsCeleb	MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition	MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition	[pdf]	[s2]	291265db88023e92bb8c8e6390438e5da148e8f5
msmt_17	MSMT17	Person Transfer GAN to Bridge Domain Gap for Person Re-Identification	Person Transfer GAN to Bridge Domain Gap for Person Re-identification	[pdf]	[s2]	a0cc5f73a37723a6dd465924143f1cb4976d0169
mtfl	MTFL	Facial Landmark Detection by Deep Multi-task Learning	Facial Landmark Detection by Deep Multi-task Learning	[pdf]	[s2]	8a3c5507237957d013a0fe0f082cab7f757af6ee
mtfl	MTFL	Learning Deep Representation for Face Alignment with Auxiliary Attributes	Learning Deep Representation for Face Alignment with Auxiliary Attributes	[pdf]	[s2]	a0fd85b3400c7b3e11122f44dc5870ae2de9009a
multi_pie	MULTIPIE	Multi-PIE	The CMU Pose, Illumination, and Expression (PIE) Database	[pdf]	[s2]	4d423acc78273b75134e2afd1777ba6d3a398973
names_and_faces	News Dataset	Names and Faces	Names and faces in the news	[pdf]	[s2]	2fda164863a06a92d3a910b96eef927269aeb730
nova_emotions	Novaemötions Dataset	Crowdsourcing facial expressions for affective-interaction	Crowdsourcing facial expressions for affective-interaction	[pdf]	[s2]	c06b13d0ec3f5c43e2782cd22542588e233733c3
orl	ORL	Parameterisation of a Stochastic Model for Human Face Identification	Parameterisation of a stochastic model for human face identification	[pdf]	[s2]	55206f0b5f57ce17358999145506cd01e570358c
pa_100k	PA-100K	HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis	HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis	[pdf]	[s2]	f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44
penn_fudan	Penn Fudan	Object Detection Combining Recognition and Segmentation	Object Detection Combining Recognition and Segmentation	[pdf]	[s2]	3394168ff0719b03ff65bcea35336a76b21fe5e4
peta	PETA	Pedestrian Attribute Recognition At Far Distance	Pedestrian Attribute Recognition At Far Distance	[pdf]	[s2]	2a4bbee0b4cf52d5aadbbc662164f7efba89566c
pets	PETS 2017	PETS 2017: Dataset and Challenge	PETS 2017: Dataset and Challenge	[pdf]	[s2]	22909dd19a0ec3b6065334cb5be5392cb24d839d
pilot_parliament	PPB	Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification	Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification	[pdf]	[s2]	18858cc936947fc96b5c06bbe3c6c2faa5614540
pipa	PIPA	Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues	Beyond frontal faces: Improving Person Recognition using multiple cues	[pdf]	[s2]	0a85bdff552615643dd74646ac881862a7c7072d
pku_reid	PKU-Reid	Swiss-System Based Cascade Ranking for Gait-based Person Re-identification	Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification	[pdf]	[s2]	f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f
pku_reid	PKU-Reid	Orientation driven bag of appearances for person re-identification	Orientation Driven Bag of Appearances for Person Re-identification	[pdf]	[s2]	a7fe834a0af614ce6b50dc093132b031dd9a856b
precarious	Precarious	Expecting the Unexpected: Training Detectors for Unusual Pedestrians With Adversarial Imposters	Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters	[pdf]	[s2]	9e5378e7b336c89735d3bb15cf67eff96f86d39a
prid	PRID	Person Re-Identification by Descriptive and Discriminative Classification	Person Re-identification by Descriptive and Discriminative Classification	[pdf]	[s2]	16c7c31a7553d99f1837fc6e88e77b5ccbb346b8
prw	PRW	Person Re-identification in the Wild	Person Re-identification in the Wild	[pdf]	[s2]	0b84f07af44f964817675ad961def8a51406dd2e
psu	PSU	Vision-based Analysis of Small Groups in Pedestrian Crowds	Vision-Based Analysis of Small Groups in Pedestrian Crowds	[pdf]	[s2]	066000d44d6691d27202896691f08b27117918b9
pubfig	PubFig	Attribute and Simile Classifiers for Face Verification	Attribute and simile classifiers for face verification	[pdf]	[s2]	759a3b3821d9f0e08e0b0a62c8b693230afc3f8d
put_face	Put Face	The PUT face database	The put face database	[pdf]	[s2]	ae0aee03d946efffdc7af2362a42d3750e7dd48a
qmul_surv_face	QMUL-SurvFace	Surveillance Face Recognition Challenge	Surveillance Face Recognition Challenge	[pdf]	[s2]	2306b2a8fba28539306052764a77a0d0f5d1236a
rafd	RaFD	Presentation and validation of the Radboud Faces Database	Presentation and validation of the Radboud Faces Database	[pdf]	[s2]	3765df816dc5a061bc261e190acc8bdd9d47bec0
raid	43	Consistent Re-identification in a Camera Network	Consistent Re-identification in a Camera Network	[pdf]	[s2]	09d78009687bec46e70efcf39d4612822e61cb8c
rap_pedestrian	RAP	A Richly Annotated Dataset for Pedestrian Attribute Recognition	A Richly Annotated Dataset for Pedestrian Attribute Recognition	[pdf]	[s2]	221c18238b829c12b911706947ab38fd017acef7
reseed	ReSEED	ReSEED: Social Event dEtection Dataset	ReSEED: social event dEtection dataset	[pdf]	[s2]	54983972aafc8e149259d913524581357b0f91c3
saivt	SAIVT SoftBio	A Database for Person Re-Identification in Multi-Camera Surveillance Networks	A Database for Person Re-Identification in Multi-Camera Surveillance Networks	[pdf]	[s2]	22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2b
sarc3d	Sarc3D	SARC3D: a new 3D body model for People Tracking and Re-identification	SARC3D: A New 3D Body Model for People Tracking and Re-identification	[pdf]	[s2]	e27ef52c641c2b5100a1b34fd0b819e84a31b4df
scface	SCface	SCface – surveillance cameras face database	SCface – surveillance cameras face database	[pdf]	[s2]	29a705a5fa76641e0d8963f1fdd67ee4c0d92d3d
scut_fbp	SCUT-FBP	SCUT-FBP: A Benchmark Dataset for Facial Beauty Perception	SCUT-FBP: A Benchmark Dataset for Facial Beauty Perception	[pdf]	[s2]	bd26dabab576adb6af30484183c9c9c8379bf2e0
scut_head	SCUT HEAD	Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture	Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture	[pdf]	[s2]	d3200d49a19a4a4e4e9745ee39649b65d80c834b
sdu_vid	SDU-VID	A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification	A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification	[pdf]	[s2]	3b4ec8af470948a72a6ed37a9fd226719a874ebc
sdu_vid	SDU-VID	Local descriptors encoded by Fisher vectors for person re-identification	Local Descriptors Encoded by Fisher Vectors for Person Re-identification	[pdf]	[s2]	46a01565e6afe7c074affb752e7069ee3bf2e4ef
sdu_vid	SDU-VID	Person reidentification by video ranking	Person Re-identification by Video Ranking	[pdf]	[s2]	98bb029afe2a1239c3fdab517323066f0957b81b
social_relation	Social Relation	Learning Social Relation Traits from Face Images	Learning Social Relation Traits from Face Images	[pdf]	[s2]	2a171f8d14b6b8735001a11c217af9587d095848
soton	SOTON HiD	On a Large Sequence-Based Human Gait Database	On a Large Sequence-Based Human Gait Database	[pdf]	[s2]	4f93cd09785c6e77bf4bc5a788e079df524c8d21
sports_videos_in_the_wild	SVW	Sports Videos in the Wild (SVW): A Video Dataset for Sports Analysis	Sports Videos in the Wild (SVW): A video dataset for sports analysis	[pdf]	[s2]	1a40092b493c6b8840257ab7f96051d1a4dbfeb2
stair_actions	STAIR Action	STAIR Actions: A Video Dataset of Everyday Home Actions	STAIR Actions: A Video Dataset of Everyday Home Actions	[pdf]	[s2]	d3f5a1848b0028d8ab51d0b0673732cad2e3c8c9
stanford_drone	Stanford Drone	Learning Social Etiquette: Human Trajectory Prediction In Crowded Scenes	Social LSTM: Human Trajectory Prediction in Crowded Spaces	[pdf]	[s2]	570f37ed63142312e6ccdf00ecc376341ec72b9f
stickmen_buffy	Buffy Stickmen	Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation	Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation	[pdf]	[s2]	4b1d23d17476fcf78f4cbadf69fb130b1aa627c0
stickmen_buffy	Buffy Stickmen	Learning to Parse Images of Articulated Objects	Learning to parse images of articulated bodies	[pdf]	[s2]	6dd0597f8513dc100cd0bc1b493768cde45098a9
stickmen_family	We Are Family Stickmen	We Are Family: Joint Pose Estimation of Multiple Persons	We Are Family: Joint Pose Estimation of Multiple Persons	[pdf]	[s2]	0dc11a37cadda92886c56a6fb5191ded62099c28
stickmen_pascal	Stickmen PASCAL	Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation	Learning to parse images of articulated bodies	[pdf]	[s2]	6dd0597f8513dc100cd0bc1b493768cde45098a9
stickmen_pascal	Stickmen PASCAL	Learning to Parse Images of Articulated Objects	Learning to parse images of articulated bodies	[pdf]	[s2]	6dd0597f8513dc100cd0bc1b493768cde45098a9
sun_attributes	SUN	The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding	The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding	[pdf]	[s2]	66e6f08873325d37e0ec20a4769ce881e04e964e
svs	SVS	Pedestrian Attribute Classification in Surveillance: Database and Evaluation	Pedestrian Attribute Classification in Surveillance: Database and Evaluation	[pdf]	[s2]	488e475eeb3bb39a145f23ede197cd3620f1d98a
texas_3dfrd	Texas 3DFRD	Anthropometric 3D Face Recognition	Anthropometric 3D Face Recognition	[pdf]	[s2]	2ce2560cf59db59ce313bbeb004e8ce55c5ce928
texas_3dfrd	Texas 3DFRD	Texas 3D Face Recognition Database	Texas 3D Face Recognition Database	[pdf]	[s2]	4d58f886f5150b2d5e48fd1b5a49e09799bf895d
tiny_faces	TinyFace	Low-Resolution Face Recognition	Low-Resolution Face Recognition	[pdf]	[s2]	8990cdce3f917dad622e43e033db686b354d057c
tiny_images	#N/A	80 million tiny images: a large dataset for non-parametric object and scene recognition	80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition	[pdf]	[s2]	31b58ced31f22eab10bd3ee2d9174e7c14c27c01
tisi	Times Square Intersection	Video Synopsis by Heterogeneous Multi-source Correlation	Video Synopsis by Heterogeneous Multi-source Correlation	[pdf]	[s2]	b6c293f0420f7e945b5916ae44269fb53e139275
tisi	Times Square Intersection	Learning from Multiple Sources for Video Summarisation	Learning from Multiple Sources for Video Summarisation	[pdf]	[s2]	287ddcb3db5562235d83aee318f318b8d5e43fb1
oxford_town_centre	TownCentre	Stable Multi-Target Tracking in Real-Time Surveillance Video	Stable multi-target tracking in real-time surveillance video	[pdf]	[s2]	9361b784e73e9238d5cefbea5ac40d35d1e3103f
tud_brussels	TUD-Brussels	Multi-Cue Onboard Pedestrian Detection	Multi-cue onboard pedestrian detection	[pdf]	[s2]	6ad5a38df8dd4cdddd74f31996ce096d41219f72
tud_campus	TUD-Campus	People-Tracking-by-Detection and People-Detection-by-Tracking	People-tracking-by-detection and people-detection-by-tracking	[pdf]	[s2]	3316521a5527c7700af8ae6aef32a79a8b83672c
tud_crossing	TUD-Crossing	People-Tracking-by-Detection and People-Detection-by-Tracking	People-tracking-by-detection and people-detection-by-tracking	[pdf]	[s2]	3316521a5527c7700af8ae6aef32a79a8b83672c
tud_motionpairs	TUD-Motionparis	Multi-Cue Onboard Pedestrian Detection	Multi-cue onboard pedestrian detection	[pdf]	[s2]	6ad5a38df8dd4cdddd74f31996ce096d41219f72
tud_pedestrian	TUD-Pedestrian	People-Tracking-by-Detection and People-Detection-by-Tracking	People-tracking-by-detection and people-detection-by-tracking	[pdf]	[s2]	3316521a5527c7700af8ae6aef32a79a8b83672c
tvhi	TVHI	High Five: Recognising human interactions in TV shows	High Five: Recognising human interactions in TV shows	[pdf]	[s2]	3cd40bfa1ff193a96bde0207e5140a399476466c
uccs	UCCS	Large scale unconstrained open set face database	Large scale unconstrained open set face database	[pdf]	[s2]	07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1
uccs	UCCS	Unconstrained Face Detection and Open-Set Face Recognition Challenge	Unconstrained Face Detection and Open-Set Face Recognition Challenge	[pdf]	[s2]	d4f1eb008eb80595bcfdac368e23ae9754e1e745
ucf_101	UCF101	UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild	UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild	[pdf]	[s2]	b5f2846a506fc417e7da43f6a7679146d99c5e96
ucf_crowd	UCF-CC-50	Multi-Source Multi-Scale Counting in Extremely Dense Crowd Images	Multi-source Multi-scale Counting in Extremely Dense Crowd Images	[pdf]	[s2]	32c801cb7fbeb742edfd94cccfca4934baec71da
ucf_selfie	UCF Selfie	How to Take a Good Selfie?	How to Take a Good Selfie?	[pdf]	[s2]	041d3eedf5e45ce5c5229f0181c5c576ed1fafd6
ufdd	UFDD	Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results	Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results	[pdf]	[s2]	3531332efe19be21e7401ba1f04570a142617236
umb	UMB	UMB-DB: A Database of Partially Occluded 3D Faces	UMB-DB: A database of partially occluded 3D faces	[pdf]	[s2]	16e8b0a1e8451d5f697b94c0c2b32a00abee1d52
umd_faces	UMD	UMDFaces: An Annotated Face Dataset for Training Deep Networks	UMDFaces: An annotated face dataset for training deep networks	[pdf]	[s2]	31b05f65405534a696a847dd19c621b7b8588263
umd_faces	UMD	The Do's and Don'ts for CNN-based Face Verification	The Do’s and Don’ts for CNN-Based Face Verification	[pdf]	[s2]	71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6
urban_tribes	Urban Tribes	From Bikers to Surfers: Visual Recognition of Urban Tribes	From Bikers to Surfers: Visual Recognition of Urban Tribes	[pdf]	[s2]	774cbb45968607a027ae4729077734db000a1ec5
vgg_celebs_in_places	CIP	Faces in Places: Compound Query Retrieval	Faces in Places: compound query retrieval	[pdf]	[s2]	7ebb153704706e457ab57b432793d2b6e5d12592
vgg_faces	VGG Face	Deep Face Recognition	Deep Face Recognition	[pdf]	[s2]	162ea969d1929ed180cc6de9f0bf116993ff6e06
vgg_faces2	VGG Face2	VGGFace2: A dataset for recognising faces across pose and age	VGGFace2: A Dataset for Recognising Faces across Pose and Age	[pdf]	[s2]	70c59dc3470ae867016f6ab0e008ac8ba03774a1
viper	VIPeR	Evaluating Appearance Models for Recognition, Reacquisition, and Tracking	Evaluating Appearance Models for Recognition, Reacquisition, and Tracking	[pdf]	[s2]	6273b3491e94ea4dd1ce42b791d77bdc96ee73a8
voc	VOC	The PASCAL Visual Object Classes (VOC) Challenge	The Pascal Visual Object Classes (VOC) Challenge	[pdf]	[s2]	0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a
voxceleb2	VoxCeleb2	VoxCeleb2: Deep Speaker Recognition	VoxCeleb2: Deep Speaker Recognition.	[pdf]	[s2]	8875ae233bc074f5cd6c4ebba447b536a7e847a5
vqa	VQA	VQA: Visual Question Answering	VQA: Visual Question Answering	[pdf]	[s2]	01959ef569f74c286956024866c1d107099199f7
wider	WIDER	Recognize Complex Events from Static Images by Fusing Deep Channels	Recognize complex events from static images by fusing deep channels	[pdf]	[s2]	356b431d4f7a2a0a38cf971c84568207dcdbf189
wider_attribute	WIDER Attribute	Human Attribute Recognition by Deep Hierarchical Contexts	Human Attribute Recognition by Deep Hierarchical Contexts	[pdf]	[s2]	44d23df380af207f5ac5b41459c722c87283e1eb
wider_face	WIDER FACE	WIDER FACE: A Face Detection Benchmark	WIDER FACE: A Face Detection Benchmark	[pdf]	[s2]	52d7eb0fbc3522434c13cc247549f74bb9609c5d
wildtrack	WildTrack	WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection	WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection	[pdf]	[s2]	36bccfb2ad847096bc76777e544f305813cd8f5b
wlfdb	WLFDB	WLFDB: Weakly Labeled Face Databases	WLFDB : Weakly Labeled Face Databases	[pdf]	[s2]	5ad4e9f947c1653c247d418f05dad758a3f9277b
yale_faces	YaleFaces	From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose	From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose	[pdf]	[s2]	18c72175ddbb7d5956d180b65a96005c100f6014
yale_faces	YaleFaces	Acquiring Linear Subspaces for Face Recognition under Variable Lighting	Acquiring linear subspaces for face recognition under variable lighting	[pdf]	[s2]	2ad0ee93d029e790ebb50574f403a09854b65b7e
yawdd	YawDD	YawDD: A Yawning Detection Dataset	YawDD: a yawning detection dataset	[pdf]	[s2]	a94cae786d515d3450d48267e12ca954aab791c4
yfcc_100m	YFCC100M	YFCC100M: The New Data in Multimedia Research	YFCC100M: the new data in multimedia research	[pdf]	[s2]	010f0f4929e6a6644fb01f0e43820f91d0fad292
york_3d	UOY 3D Face Database	Three-Dimensional Face Recognition: An Eigensurface Approach	Three-dimensional face recognition: an eigensurface approach	[pdf]	[s2]	19d1b811df60f86cbd5e04a094b07f32fff7a32a
youtube_faces	YouTubeFaces	Face Recognition in Unconstrained Videos with Matched Background Similarity	Face recognition in unconstrained videos with matched background similarity	[pdf]	[s2]	560e0e58d0059259ddf86fcec1fa7975dee6a868
youtube_poses	YouTube Pose	Personalizing Human Video Pose Estimation	Personalizing Human Video Pose Estimation	[pdf]	[s2]	1c2802c2199b6d15ecefe7ba0c39bfe44363de38
flickr_faces	FFHQ	A Style-Based Generator Architecture for Generative Adversarial Networks	A Style-Based Generator Architecture for Generative Adversarial Networks	[pdf]	[s2]	ceb2ebef0b41e31c1a21b28c2734123900c005e2

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Coverage

Paper ID	Megapixels Key	Megapixels Name	Report Link	PDF Link	Journal	Type	Address	Country	Lat	Lng	Coverage	Total Citations	Geocoded Citations	Unknown Citations	Empty Citations	With PDF	With DOI
0e986f51fe45b00633de9fd0c94d082d2be51406	afw	AFW	Face detection, pose estimation, and landmark localization in the wild	[pdf]	2012 IEEE Conference on Computer Vision and Pattern Recognition						73%	999	725	274	35	576	422
162ea969d1929ed180cc6de9f0bf116993ff6e06	vgg_faces	VGG Face	Deep Face Recognition	[pdf]	Unknown						66%	999	657	342	48	558	429
b5f2846a506fc417e7da43f6a7679146d99c5e96	ucf_101	UCF101	UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild	[pdf]	CoRR						64%	999	643	356	56	628	362
370b5757a5379b15e30d619e4d3fb9e8e13f3256	lfw	LFW	Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments	[pdf]	Unknown						64%	999	637	362	58	598	382
5e0f8c355a37a5a89351c02f174e7a5ddcb98683	coco	COCO	Microsoft COCO: Common Objects in Context	[pdf]	Unknown						61%	999	609	390	25	722	259
4d9a02d080636e9666c4d1cc438b9893391ec6c7	cohn_kanade_plus	CK+	The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression	[pdf]	2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops	edu	University of Pittsburgh	United States	40.44415295	-79.96243993	61%	999	608	391	57	470	518
0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a	voc	VOC	The Pascal Visual Object Classes (VOC) Challenge	[pdf]	International Journal of Computer Vision	company	Microsoft	United States	47.64233180	-122.13693020	61%	999	608	390	28	557	422
026e3363b7f76b51cc711886597a44d5f1fd1de2	kitti	KITTI	Vision meets robotics: The KITTI dataset	[pdf]	I. J. Robotics Res.						60%	999	603	396	36	553	462
f72f6a45ee240cc99296a287ff725aaa7e7ebb35	caltech_pedestrians	Caltech Pedestrians	Pedestrian Detection: An Evaluation of the State of the Art	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence	edu	California Institute of Technology	United States	34.13710185	-118.12527487	60%	999	602	397	68	527	466
759a3b3821d9f0e08e0b0a62c8b693230afc3f8d	pubfig	PubFig	Attribute and simile classifiers for face verification	[pdf]	2009 IEEE 12th International Conference on Computer Vision						64%	914	589	325	46	586	316
6d96f946aaabc734af7fe3fc4454cf8547fcd5ed	ar_facedb	AR Face	The AR face database	[pdf]	Unknown						58%	999	580	419	58	458	530
10d6b12fa07c7c8d6c8c3f42c7f1c061c131d4c5	inria_person	INRIA Pedestrian	Histograms of oriented gradients for human detection	[pdf]	2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)	edu	INRIA Rhone-Alps, Montbonnot, France	France	45.21788600	5.80736900	57%	999	574	425	41	419	509
31b58ced31f22eab10bd3ee2d9174e7c14c27c01	tiny_images	#N/A	80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence						57%	999	574	425	89	644	337
18ae7c9a4bbc832b8b14bc4122070d7939f5e00e	frgc	FRGC	Overview of the face recognition grand challenge	[pdf]	2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)	edu	NIST	United States	39.14004000	-77.21850600	57%	999	570	428	84	549	442
18c72175ddbb7d5956d180b65a96005c100f6014	yale_faces	YaleFaces	From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose	[pdf]	IEEE Trans. Pattern Anal. Mach. Intell.						56%	999	562	437	66	498	462
2ad0ee93d029e790ebb50574f403a09854b65b7e	yale_faces	YaleFaces	Acquiring linear subspaces for face recognition under variable lighting	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence						55%	999	554	445	94	495	491
23fc83c8cfff14a16df7ca497661264fc54ed746	cohn_kanade	CK	Comprehensive Database for Facial Expression Analysis	[pdf]	Unknown						55%	999	553	446	69	540	439
b62628ac06bbac998a3ab825324a41a11bc3a988	m2vtsdb_extended	xm2vtsdb	XM2VTSDB : The extended M2VTS database	[pdf]	Unknown						63%	864	541	323	37	493	404
6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4	celeba	CelebA	Deep Learning Face Attributes in the Wild	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)	edu	Chinese University of Hong Kong	China	22.41626320	114.21093180	58%	919	531	387	61	694	201
dc8b25e35a3acb812beb499844734081722319b4	feret	FERET	The FERET database and evaluation procedure for face-recognition algorithms	[pdf]	Image Vision Comput.						53%	999	525	474	101	591	421
45c31cde87258414f33412b3b12fc5bec7cb3ba9	jaffe	JAFFE	Coding Facial Expressions with Gabor Wavelets	[pdf]	Unknown						57%	899	509	390	51	431	451
55206f0b5f57ce17358999145506cd01e570358c	orl	ORL	Parameterisation of a stochastic model for human face identification	[pdf]	Unknown						50%	999	501	498	94	543	427
4d423acc78273b75134e2afd1777ba6d3a398973	cmu_pie	CMU PIE	The CMU Pose, Illumination, and Expression (PIE) Database	[pdf]	Unknown						59%	760	451	308	49	404	345
4d423acc78273b75134e2afd1777ba6d3a398973	multi_pie	MULTIPIE	The CMU Pose, Illumination, and Expression (PIE) Database	[pdf]	Unknown						59%	760	451	308	49	404	345
2830fb5282de23d7784b4b4bc37065d27839a412	h3d	H3D	Poselets: Body part detectors trained using 3D human pose annotations	[pdf]	2009 IEEE 12th International Conference on Computer Vision						59%	716	423	293	58	492	222
6273b3491e94ea4dd1ce42b791d77bdc96ee73a8	viper	VIPeR	Evaluating Appearance Models for Recognition, Reacquisition, and Tracking	[pdf]	Unknown	edu	University of California, Santa Cruz	United States	36.99158470	-122.05827710	67%	624	415	209	33	342	276
6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3	cuhk_campus_03	CUHK03 Campus	DeepReID: Deep Filter Pairing Neural Network for Person Re-identification	[pdf]	2014 IEEE Conference on Computer Vision and Pattern Recognition						73%	568	413	155	19	320	235
2258e01865367018ed6f4262c880df85b94959f8	mot	MOT	Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics	[pdf]	EURASIP J. Image and Video Processing						58%	632	366	264	44	358	264
95f12d27c3b4914e0668a268360948bce92f7db3	helen	Helen	Interactive Facial Feature Localization	[pdf]	Unknown	company	Adobe	United States	37.33077030	-121.89409510	83%	440	364	76	7	248	182
4308bd8c28e37e2ed9a3fcfe74d5436cce34b410	market_1501	Market 1501	Scalable Person Re-identification: A Benchmark	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)	company	Microsoft	United States	47.64233180	-122.13693020	77%	460	356	104	9	263	185
853bd61bc48a431b9b1c7cab10c603830c488e39	casia_webface	CASIA Webface	Learning Face Representation from Scratch	[pdf]	CoRR	edu	Chinese Academy of Sciences	China	40.00447950	116.37023800	72%	476	344	132	19	290	182
560e0e58d0059259ddf86fcec1fa7975dee6a868	youtube_faces	YouTubeFaces	Face recognition in unconstrained videos with matched background similarity	[pdf]	CVPR 2011	edu	Tel Aviv University	Israel	32.11198890	34.80459702	67%	509	343	165	23	294	216
3316521a5527c7700af8ae6aef32a79a8b83672c	tud_campus	TUD-Campus	People-tracking-by-detection and people-detection-by-tracking	[pdf]	2008 IEEE Conference on Computer Vision and Pattern Recognition						60%	545	325	219	37	330	218
3316521a5527c7700af8ae6aef32a79a8b83672c	tud_crossing	TUD-Crossing	People-tracking-by-detection and people-detection-by-tracking	[pdf]	2008 IEEE Conference on Computer Vision and Pattern Recognition						60%	545	325	219	37	330	218
3316521a5527c7700af8ae6aef32a79a8b83672c	tud_pedestrian	TUD-Pedestrian	People-tracking-by-detection and people-detection-by-tracking	[pdf]	2008 IEEE Conference on Computer Vision and Pattern Recognition						60%	545	325	219	37	330	218
cc589c499dcf323fe4a143bbef0074c3e31f9b60	bu_3dfe	BU-3DFE	A 3D facial expression database for facial behavior research	[pdf]	7th International Conference on Automatic Face and Gesture Recognition (FGR06)						54%	588	316	271	44	306	282
4053e3423fb70ad9140ca89351df49675197196a	bio_id	BioID Face	Robust Face Detection Using the Hausdorff Distance	[pdf]	Unknown						57%	511	292	219	49	329	182
8a3c5507237957d013a0fe0f082cab7f757af6ee	mafl	MAFL	Facial Landmark Detection by Deep Multi-task Learning	[pdf]	Unknown						71%	407	287	120	16	252	153
8a3c5507237957d013a0fe0f082cab7f757af6ee	mtfl	MTFL	Facial Landmark Detection by Deep Multi-task Learning	[pdf]	Unknown						71%	407	287	120	16	252	153
3325860c0c82a93b2eac654f5324dd6a776f609e	mpii_human_pose	MPII Human Pose	2D Human Pose Estimation: New Benchmark and State of the Art Analysis	[pdf]	2014 IEEE Conference on Computer Vision and Pattern Recognition						70%	387	270	117	17	291	96
16c7c31a7553d99f1837fc6e88e77b5ccbb346b8	prid	PRID	Person Re-identification by Descriptive and Discriminative Classification	[pdf]	Unknown						68%	386	263	123	23	204	180
044d9a8c61383312cdafbcc44b9d00d650b21c70	fiw_300	300-W	300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge	[pdf]	2013 IEEE International Conference on Computer Vision Workshops						81%	323	262	61	15	208	120
9055b155cbabdce3b98e16e5ac9c0edf00f9552f	morph	MORPH Commercial	MORPH: a longitudinal image database of normal adult age-progression	[pdf]	7th International Conference on Automatic Face and Gesture Recognition (FGR06)	edu	North Carolina University	United States	34.22398690	-77.87013250	59%	437	259	177	22	228	203
9055b155cbabdce3b98e16e5ac9c0edf00f9552f	morph_nc	MORPH-II	MORPH: a longitudinal image database of normal adult age-progression	[pdf]	7th International Conference on Automatic Face and Gesture Recognition (FGR06)	edu	North Carolina University	United States	34.22398690	-77.87013250	59%	437	259	177	22	228	203
2485c98aa44131d1a2f7d1355b1e372f2bb148ad	cas_peal	CAS-PEAL	The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations	[pdf]	IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans						59%	429	255	174	38	198	234
2a75f34663a60ab1b04a0049ed1d14335129e908	mmi_facial_expression	MMI Facial Expression Dataset	Web-based database for facial expression analysis	[pdf]	2005 IEEE International Conference on Multimedia and Expo						54%	464	250	214	45	282	188
75da1df4ed319926c544eefe17ec8d720feef8c0	fddb	FDDB	FDDB: A benchmark for face detection in unconstrained settings	[pdf]	Unknown						65%	380	248	132	16	202	164
2724ba85ec4a66de18da33925e537f3902f21249	cofw	COFW	Robust Face Landmark Estimation under Occlusion	[pdf]	2013 IEEE International Conference on Computer Vision	edu	California Institute of Technology	United States	34.13710185	-118.12527487	75%	325	245	80	11	194	133
6dd0597f8513dc100cd0bc1b493768cde45098a9	stickmen_buffy	Buffy Stickmen	Learning to parse images of articulated bodies	[pdf]	Unknown						64%	369	237	131	29	237	131
6dd0597f8513dc100cd0bc1b493768cde45098a9	stickmen_pascal	Stickmen PASCAL	Learning to parse images of articulated bodies	[pdf]	Unknown						64%	369	237	131	29	237	131
6dd0597f8513dc100cd0bc1b493768cde45098a9	stickmen_pascal	Stickmen PASCAL	Learning to parse images of articulated bodies	[pdf]	Unknown						64%	369	237	131	29	237	131
3765df816dc5a061bc261e190acc8bdd9d47bec0	rafd	RaFD	Presentation and validation of the Radboud Faces Database	[pdf]	Unknown						48%	487	234	253	39	342	144
a74251efa970b92925b89eeef50a5e37d9281ad0	aflw	AFLW	Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization	[pdf]	2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)	edu	TU Graz	Austria	47.07071400	15.43950400	70%	318	222	96	27	211	107
9361b784e73e9238d5cefbea5ac40d35d1e3103f	oxford_town_centre	TownCentre	Stable multi-target tracking in real-time surveillance video	[pdf]	CVPR 2011	edu	University of Oxford	United Kingdom	51.75345380	-1.25400997	68%	328	222	106	13	186	140
4b1d23d17476fcf78f4cbadf69fb130b1aa627c0	leeds_sports_pose	Leeds Sports Pose	Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation	[pdf]	Unknown						76%	285	218	67	5	197	93
4b1d23d17476fcf78f4cbadf69fb130b1aa627c0	stickmen_buffy	Buffy Stickmen	Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation	[pdf]	Unknown						76%	285	218	67	5	197	93
13f06b08f371ba8b5d31c3e288b4deb61335b462	eth_andreas_ess	ETHZ Pedestrian	Depth and Appearance for Mobile Scene Analysis	[pdf]	2007 IEEE 11th International Conference on Computer Vision	edu	ETH Zurich	Switzerland	47.37631300	8.54766990	63%	324	205	119	26	193	127
2acf7e58f0a526b957be2099c10aab693f795973	bosphorus	The Bosphorus	Bosphorus Database for 3D Face Analysis	[pdf]	Unknown						57%	352	200	152	17	162	188
5981e6479c3fd4e31644db35d236bfb84ae46514	mot	MOT	Learning to associate: HybridBoosted multi-target tracker for crowded scene	[pdf]	2009 IEEE Conference on Computer Vision and Pattern Recognition	edu	University of Southern California	United States	34.02241490	-118.28634407	61%	326	200	125	22	190	137
639937b3a1b8bded3f7e9a40e85bd3770016cf3c	bfm	BFM	A 3D Face Model for Pose and Illumination Invariant Face Recognition	[pdf]	2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance						57%	343	195	148	23	223	114
44484d2866f222bbb9b6b0870890f9eea1ffb2d0	cuhk_campus_03	CUHK03 Campus	Human Reidentification with Transferred Metric Learning	[pdf]	Unknown						69%	280	194	86	9	139	137
436f798d1a4e54e5947c1e7d7375c31b2bdb4064	tud_multiview	TUD-Multiview	Monocular 3D pose estimation and tracking by detection	[pdf]	2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition	edu	TU Darmstadt	Germany	49.87482770	8.65632810	60%	311	188	123	33	208	105
436f798d1a4e54e5947c1e7d7375c31b2bdb4064	tud_stadtmitte	TUD-Stadtmitte	Monocular 3D pose estimation and tracking by detection	[pdf]	2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition	edu	TU Darmstadt	Germany	49.87482770	8.65632810	60%	311	188	123	33	208	105
010f0f4929e6a6644fb01f0e43820f91d0fad292	yfcc_100m	YFCC100M	YFCC100M: the new data in multimedia research	[pdf]	Commun. ACM	edu	Carnegie Mellon University	United States	40.44416190	-79.94272826	64%	274	176	98	23	172	100
1be498d4bbc30c3bfd0029114c784bc2114d67c0	adience	Adience	Age and Gender Estimation of Unfiltered Faces	[pdf]	IEEE Transactions on Information Forensics and Security	edu	Open University of Israel	Israel	32.77824165	34.99565673	72%	237	171	66	3	127	100
38b55d95189c5e69cf4ab45098a48fba407609b4	cuhk_campus_03	CUHK03 Campus	Locally Aligned Feature Transforms across Views	[pdf]	2013 IEEE Conference on Computer Vision and Pattern Recognition						64%	258	164	94	15	136	117
833fa04463d90aab4a9fe2870d480f0b40df446e	sun_attributes	SUN	SUN attribute database: Discovering, annotating, and recognizing scene attributes	[pdf]	2012 IEEE Conference on Computer Vision and Pattern Recognition	edu	Brown University	United States	41.82686820	-71.40123146	61%	264	160	104	27	206	56
140c95e53c619eac594d70f6369f518adfea12ef	ijb_a	IJB-A	Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A	[pdf]	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						67%	237	158	79	14	159	76
2eed184680edcdec8a3b605ad1a3ba8e8f7cc2e9	graz	Graz Pedestrian	Generic object recognition with boosting	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence	edu	TU Graz	Austria	47.07071400	15.43950400	53%	293	155	138	16	195	97
6204776d31359d129a582057c2d788a14f8aadeb	youtube_celebrities	YouTube Celebrities	Face tracking and recognition with visual constraints in real-world videos	[pdf]	2008 IEEE Conference on Computer Vision and Pattern Recognition	edu	Rutgers University	United States	40.47913175	-74.43168868	57%	267	152	114	11	125	121
013909077ad843eb6df7a3e8e290cfd5575999d2	fiw_300	300-W	A Semi-automatic Methodology for Facial Landmark Annotation	[pdf]	2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops						82%	184	151	33	8	120	67
96e0cfcd81cdeb8282e29ef9ec9962b125f379b0	megaface	MegaFace	The MegaFace Benchmark: 1 Million Faces for Recognition at Scale	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						69%	216	148	68	11	148	61
21d9d0deed16f0ad62a4865e9acf0686f4f15492	images_of_groups	Images of Groups	Understanding images of groups of people	[pdf]	2009 IEEE Conference on Computer Vision and Pattern Recognition	edu	Carnegie Mellon University	United States	40.44416190	-79.94272826	57%	256	147	109	13	165	84
4c170a0dcc8de75587dae21ca508dab2f9343974	face_tracer	FaceTracer	FaceTracer: A Search Engine for Large Collections of Images with Faces	[pdf]	Unknown						65%	225	146	79	17	146	77
27a2fad58dd8727e280f97036e0d2bc55ef5424c	duke_mtmc	Duke MTMC	Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking	[pdf]	Unknown	edu	Duke University	United States	35.99905220	-78.92906290	86%	169	145	24	3	113	54
27a2fad58dd8727e280f97036e0d2bc55ef5424c	mot	MOT	Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking	[pdf]	Unknown	edu	Duke University	United States	35.99905220	-78.92906290	86%	169	145	24	3	113	54
e8de844fefd54541b71c9823416daa238be65546	visual_phrases	Phrasal Recognition	Recognition using visual phrases	[pdf]	CVPR 2011	edu	University of Illinois, Urbana-Champaign	United States	40.11116745	-88.22587665	59%	246	144	102	17	170	68
98bb029afe2a1239c3fdab517323066f0957b81b	ilids_mcts_vid	iLIDS-VID	Person Re-identification by Video Ranking	[pdf]	Unknown						68%	209	143	66	8	111	97
291265db88023e92bb8c8e6390438e5da148e8f5	msceleb	MsCeleb	MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition	[pdf]	Unknown	company	Microsoft	United States	47.64233180	-122.13693020	79%	180	143	37	8	120	59
98bb029afe2a1239c3fdab517323066f0957b81b	sdu_vid	SDU-VID	Person Re-identification by Video Ranking	[pdf]	Unknown						68%	209	143	66	8	111	97
7808937b46acad36e43c30ae4e9f3fd57462853d	bpad	BPAD	Describing people: A poselet-based approach to attribute classification	[pdf]	2011 International Conference on Computer Vision						61%	230	141	89	14	163	66
46a01565e6afe7c074affb752e7069ee3bf2e4ef	sdu_vid	SDU-VID	Local Descriptors Encoded by Fisher Vectors for Person Re-identification	[pdf]	Unknown						67%	197	132	65	15	108	88
0c91808994a250d7be332400a534a9291ca3b60e	graz	Graz Pedestrian	Weak Hypotheses and Boosting for Generic Object Detection and Recognition	[pdf]	Unknown						56%	236	131	105	17	161	77
4e4746094bf60ee83e40d8597a6191e463b57f76	leeds_sports_pose_extended	Leeds Sports Pose Extended	Learning effective human pose estimation from inaccurate annotation	[pdf]	CVPR 2011	edu	University of Leeds	United Kingdom	53.80387185	-1.55245712	76%	169	128	41	6	108	65
35b0331dfcd2897abd5749b49ff5e2b8ba0f7a62	coco_qa	COCO QA	Exploring Models and Data for Image Question Answering	[pdf]	Unknown						61%	206	126	80	11	162	39
570f37ed63142312e6ccdf00ecc376341ec72b9f	stanford_drone	Stanford Drone	Social LSTM: Human Trajectory Prediction in Crowded Spaces	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						56%	224	125	99	3	140	81
52d7eb0fbc3522434c13cc247549f74bb9609c5d	wider_face	WIDER FACE	WIDER FACE: A Face Detection Benchmark	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)	edu	Chinese University of Hong Kong	China	22.41626320	114.21093180	67%	178	120	58	11	112	66
b1f4423c227fa37b9680787be38857069247a307	afew_va	AFEW-VA	Collecting Large, Richly Annotated Facial-Expression Databases from Movies	[pdf]	IEEE MultiMedia	edu	Australian National University	Australia	-35.27769990	149.11852700	64%	181	116	65	8	87	97
22ad2c8c0f4d6aa4328b38d894b814ec22579761	gallagher	Gallagher	Clothing cosegmentation for recognizing people	[pdf]	2008 IEEE Conference on Computer Vision and Pattern Recognition	edu	Carnegie Mellon University	United States	40.44416190	-79.94272826	65%	178	116	62	7	100	86
c0387e788a52f10bf35d4d50659cfa515d89fbec	mars	MARS	MARS: A Video Benchmark for Large-Scale Person Re-Identification	[pdf]	Unknown						68%	168	115	53	4	97	69
0d3bb75852098b25d90f31d2f48fd0cb4944702b	face_scrub	FaceScrub	A data-driven approach to cleaning large face datasets	[pdf]	2014 IEEE International Conference on Image Processing (ICIP)						83%	138	114	24	0	95	41
18010284894ed0edcca74e5bf768ee2e15ef7841	deep_fashion	DeepFashion	DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						64%	176	113	63	2	113	62
32c801cb7fbeb742edfd94cccfca4934baec71da	ucf_crowd	UCF-CC-50	Multi-source Multi-scale Counting in Extremely Dense Crowd Images	[pdf]	2013 IEEE Conference on Computer Vision and Pattern Recognition						76%	148	113	35	3	80	65
133f01aec1534604d184d56de866a4bd531dac87	lfw	LFW	Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence						61%	183	111	72	12	103	77
0df0d1adea39a5bef318b74faa37de7f3e00b452	mpii_gaze	MPIIGaze	Appearance-based gaze estimation in the wild	[pdf]	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						74%	149	110	39	3	94	54
10195a163ab6348eef37213a46f60a3d87f289c5	imdb_wiki	IMDB-Wiki	Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks	[pdf]	International Journal of Computer Vision	edu	ETH Zurich	Switzerland	47.37631300	8.54766990	73%	145	106	39	9	93	51
56ffa7d906b08d02d6d5a12c7377a57e24ef3391	unbc_shoulder_pain	UNBC-McMaster Pain	Painful data: The UNBC-McMaster shoulder pain expression archive database	[pdf]	Face and Gesture 2011	edu	Carnegie Mellon University	United States	40.44416190	-79.94272826	56%	189	105	84	21	108	78
5a5f0287484f0d480fed1ce585dbf729586f0edc	disfa	DISFA	DISFA: A Spontaneous Facial Action Intensity Database	[pdf]	IEEE Transactions on Affective Computing	edu	University of Denver	United States	39.67665410	-104.96220300	55%	184	102	82	17	96	89
29a705a5fa76641e0d8963f1fdd67ee4c0d92d3d	scface	SCface	SCface – surveillance cameras face database	[pdf]	Multimedia Tools and Applications						57%	179	102	77	15	88	89
1aad2da473888cb7ebc1bfaa15bfa0f1502ce005	jpl_pose	JPL-Interaction dataset	First-Person Activity Recognition: What Are They Doing to Me?	[pdf]	2013 IEEE Conference on Computer Vision and Pattern Recognition						67%	148	99	49	7	105	43
3b5b6d19d4733ab606c39c69a889f9e67967f151	qmul_grid	GRID	Multi-camera activity correlation analysis	[pdf]	2009 IEEE Conference on Computer Vision and Pattern Recognition	edu	Queen Mary University of London	United Kingdom	51.52472720	-0.03931035	69%	142	98	44	7	77	64
8355d095d3534ef511a9af68a3b2893339e3f96b	imdb_wiki	IMDB-Wiki	DEX: Deep EXpectation of Apparent Age from a Single Image	[pdf]	2015 IEEE International Conference on Computer Vision Workshop (ICCVW)						79%	122	96	26	4	75	48
ceb2ebef0b41e31c1a21b28c2734123900c005e2	flickr_faces	FFHQ	A Style-Based Generator Architecture for Generative Adversarial Networks	[pdf]	ArXiv						62%	156	96	58	3	141	10
4f93cd09785c6e77bf4bc5a788e079df524c8d21	soton	SOTON HiD	On a Large Sequence-Based Human Gait Database	[pdf]	Unknown						63%	150	95	55	17	103	51
e4754afaa15b1b53e70743880484b8d0736990ff	fiw_300	300-W	300 Faces In-The-Wild Challenge: database and results	[pdf]	Image Vision Comput.	edu	Imperial College London	United Kingdom	51.49887085	-0.17560797	73%	129	94	35	6	74	55
8b56e33f33e582f3e473dba573a16b598ed9bcdc	fei	FEI	A new ranking method for principal components analysis and its application to face image analysis	[pdf]	Image Vision Comput.						55%	169	93	76	6	69	102
066000d44d6691d27202896691f08b27117918b9	psu	PSU	Vision-Based Analysis of Small Groups in Pedestrian Crowds	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence						54%	168	91	77	10	85	79
2d3482dcff69c7417c7b933f22de606a0e8e42d4	lfw	LFW	Labeled Faces in the Wild : Updates and New Reporting Procedures	[pdf]	Unknown	edu	University of Massachusetts	United States	42.38897850	-72.52869870	69%	123	85	38	3	71	51
0486214fb58ee9a04edfe7d6a74c6d0f661a7668	chokepoint	ChokePoint	Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition	[pdf]	CVPR 2011 WORKSHOPS						61%	138	84	54	6	76	63
5a4df9bef1872865f0b619ac3aacc97f49e4a035	cuhk_train_station	CUHK Train Station Dataset	Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents	[pdf]	2012 IEEE Conference on Computer Vision and Pattern Recognition	edu	Chinese University of Hong Kong	China	22.41626320	114.21093180	60%	141	84	57	4	60	75
2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e	3dpes	3DPeS	3DPeS: 3D people dataset for surveillance and forensics	[pdf]	Unknown						62%	133	82	51	9	73	58
b91f54e1581fbbf60392364323d00a0cd43e493c	bp4d_spontanous	BP4D-Spontanous	A high-resolution spontaneous 3D dynamic facial expression database	[pdf]	2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)	edu	SUNY Binghamton	United States	42.08779975	-75.97066066	53%	154	82	72	6	80	75
a0fd85b3400c7b3e11122f44dc5870ae2de9009a	mafl	MAFL	Learning Deep Representation for Face Alignment with Auxiliary Attributes	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence	edu	University of Hong Kong	China	22.20814690	114.25964115	73%	108	79	29	7	66	44
a0fd85b3400c7b3e11122f44dc5870ae2de9009a	mtfl	MTFL	Learning Deep Representation for Face Alignment with Auxiliary Attributes	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence	edu	University of Hong Kong	China	22.20814690	114.25964115	73%	108	79	29	7	66	44
7f23a4bb0c777dd72cca7665a5f370ac7980217e	duke_mtmc	Duke MTMC	Improving Person Re-identification by Attribute and Identity Learning	[pdf]	CoRR						85%	87	74	13	0	43	42
7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22	lfw	LFW	Labeled Faces in the Wild: A Survey	[pdf]	Unknown	edu	Stevens Institute of Technology	United States	40.74225200	-74.02709490	64%	109	70	39	7	66	43
66e6f08873325d37e0ec20a4769ce881e04e964e	sun_attributes	SUN	The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding	[pdf]	International Journal of Computer Vision						60%	116	70	46	14	84	31
2a4bbee0b4cf52d5aadbbc662164f7efba89566c	peta	PETA	Pedestrian Attribute Recognition At Far Distance	[pdf]	Unknown						75%	88	66	22	1	50	36
70c59dc3470ae867016f6ab0e008ac8ba03774a1	vgg_faces2	VGG Face2	VGGFace2: A Dataset for Recognising Faces across Pose and Age	[pdf]	2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)						80%	83	66	17	3	61	20
3394168ff0719b03ff65bcea35336a76b21fe5e4	penn_fudan	Penn Fudan	Object Detection Combining Recognition and Segmentation	[pdf]	Unknown						61%	105	64	41	9	58	43
3b4ec8af470948a72a6ed37a9fd226719a874ebc	sdu_vid	SDU-VID	A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)						66%	95	63	32	6	50	45
04c2cda00e5536f4b1508cbd80041e9552880e67	hipsterwars	Hipsterwars	Hipster Wars: Discovering Elements of Fashion Styles	[pdf]	Unknown						64%	95	61	34	4	59	35
06f02199690961ba52997cde1527e714d2b3bf8f	columbia_gaze	Columbia Gaze	Gaze locking: passive eye contact detection for human-object interaction	[pdf]	Unknown	edu	Columbia University	United States	40.84198360	-73.94368971	76%	79	60	19	0	49	34
4df3143922bcdf7db78eb91e6b5359d6ada004d2	cfd	CFD	The Chicago face database: A free stimulus set of faces and norming data.	[pdf]	Behavior research methods						60%	99	59	40	1	73	21
0c4a139bb87c6743c7905b29a3cfec27a5130652	feret	FERET	The FERET Verification Testing Protocol for Face Recognition Algorithms	[pdf]	Unknown	edu	City University of New York	United States	40.87228250	-73.89489171	51%	115	59	56	8	75	37
08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7	kin_face	UB KinFace	Understanding Kin Relationships in a Photo	[pdf]	IEEE Transactions on Multimedia						63%	94	59	35	1	33	61
0a85bdff552615643dd74646ac881862a7c7072d	pipa	PIPA	Beyond frontal faces: Improving Person Recognition using multiple cues	[pdf]	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)	company	Facebook	United States	37.39367170	-122.08072620	83%	69	57	11	2	49	18
2ce2560cf59db59ce313bbeb004e8ce55c5ce928	texas_3dfrd	Texas 3DFRD	Anthropometric 3D Face Recognition	[pdf]	International Journal of Computer Vision						63%	91	57	34	5	60	31
5194cbd51f9769ab25260446b4fa17204752e799	violent_flows	Violent Flows	Violent flows: Real-time detection of violent crowd behavior	[pdf]	2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops	edu	Open University of Israel	Israel	32.77824165	34.99565673	65%	88	57	31	6	45	44
3cd40bfa1ff193a96bde0207e5140a399476466c	tvhi	TVHI	High Five: Recognising human interactions in TV shows	[pdf]	Unknown						57%	98	56	42	10	66	28
2160788824c4c29ffe213b2cbeb3f52972d73f37	3d_rma	3D-RMA	Automatic 3D face authentication	[pdf]	Image Vision Comput.						54%	100	54	46	8	63	36
ae0aee03d946efffdc7af2362a42d3750e7dd48a	put_face	Put Face	The put face database	[pdf]	Unknown						55%	99	54	45	5	55	48
2edb87494278ad11641b6cf7a3f8996de12b8e14	qmul_grid	GRID	Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding	[pdf]	International Journal of Computer Vision	edu	Queen Mary University of London	United Kingdom	51.52472720	-0.03931035	63%	84	53	31	4	51	33
0dc11a37cadda92886c56a6fb5191ded62099c28	stickmen_family	We Are Family Stickmen	We Are Family: Joint Pose Estimation of Multiple Persons	[pdf]	Unknown						68%	78	53	25	4	54	23
0b84f07af44f964817675ad961def8a51406dd2e	prw	PRW	Person Re-identification in the Wild	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						68%	77	52	25	1	47	27
0b440695c822a8e35184fb2f60dcdaa8a6de84ae	kinectface	KinectFaceDB	KinectFaceDB: A Kinect Database for Face Recognition	[pdf]	IEEE Transactions on Systems, Man, and Cybernetics: Systems	edu	University of North Carolina at Chapel Hill	United States	35.91139710	-79.05045290	61%	82	50	32	6	28	52
1bd1645a629f1b612960ab9bba276afd4cf7c666	brainwash	Brainwash	End-to-End People Detection in Crowded Scenes	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)	edu	Stanford University	United States	37.43131385	-122.16936535	69%	67	46	20	2	42	23
c900e0ad4c95948baaf0acd8449fde26f9b4952a	emotio_net	EmotioNet Database	EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						53%	86	46	40	7	54	29
f1af714b92372c8e606485a3982eab2f16772ad8	mug_faces	MUG Faces	The MUG facial expression database	[pdf]	11th International Workshop on Image Analysis for Multimedia Interactive Services WIAMIS 10	edu	Aristotle University of Thessaloniki	Greece	40.62984145	22.95889350	55%	82	45	37	4	34	47
6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c	afad	AFAD	Ordinal Regression with Multiple Output CNN for Age Estimation	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						56%	78	44	34	8	44	31
636b8ffc09b1b23ff714ac8350bb35635e49fa3c	caltech_10k_web_faces	Caltech 10K Web Faces	Pruning training sets for learning of object categories	[pdf]	2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)						70%	63	44	19	4	42	20
2bf8541199728262f78d4dced6fb91479b39b738	clothing_co_parsing	CCP	Clothing Co-parsing by Joint Image Segmentation and Labeling	[pdf]	2014 IEEE Conference on Computer Vision and Pattern Recognition						70%	60	42	18	0	34	28
f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44	pa_100k	PA-100K	HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis	[pdf]	2017 IEEE International Conference on Computer Vision (ICCV)						76%	55	42	13	0	36	17
4793f11fbca4a7dba898b9fff68f70d868e2497c	kin_face	UB KinFace	Kinship Verification through Transfer Learning	[pdf]	Unknown						58%	71	41	30	2	29	42
faf40ce28857aedf183e193486f5b4b0a8c478a2	iit_dehli_ear	IIT Dehli Ear	Automated Human Identification Using Ear Imaging	[pdf]	Unknown						50%	80	40	40	6	35	44
15af83373274f4b4c5976c5f384ea0a5c124b287	megaface	MegaFace	Level Playing Field for Million Scale Face Recognition	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						62%	64	40	24	5	44	19
4d58f886f5150b2d5e48fd1b5a49e09799bf895d	texas_3dfrd	Texas 3DFRD	Texas 3D Face Recognition Database	[pdf]	2010 IEEE Southwest Symposium on Image Analysis & Interpretation (SSIAI)						61%	66	40	26	3	40	27
31de9b3dd6106ce6eec9a35991b2b9083395fd0b	feret	FERET	FERET ( Face Recognition Technology ) Recognition Algorithm Development and Test Results	[pdf]	Unknown						52%	75	39	36	5	54	20
47aeb3b82f54b5ae8142b4bdda7b614433e69b9a	am_fed	AM-FED	Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected "In-the-Wild"	[pdf]	2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops						46%	83	38	45	6	43	39
22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2b	saivt	SAIVT SoftBio	A Database for Person Re-Identification in Multi-Camera Surveillance Networks	[pdf]	2012 International Conference on Digital Image Computing Techniques and Applications (DICTA)						58%	65	38	27	6	45	20
79828e6e9f137a583082b8b5a9dfce0c301989b8	mapillary	Mapillary	The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes	[pdf]	2017 IEEE International Conference on Computer Vision (ICCV)						61%	61	37	24	0	43	16
3dc3f0b64ef80f573e3a5f96e456e52ee980b877	georgia_tech_face_database	Georgia Tech Face	Maximum Likelihood Training of the Embedded HMM for Face Detection and Recognition	[pdf]	Unknown						54%	67	36	31	4	29	28
6f3c76b7c0bd8e1d122c6ea808a271fd4749c951	ward	WARD	Re-identify people in wide area camera network	[pdf]	2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops	edu	University of Udine	Italy	46.08107230	13.21194740	60%	60	36	24	1	38	21
fcc6fe6007c322641796cb8792718641856a22a7	miw	MIW	Automatic facial makeup detection with application in face recognition	[pdf]	2013 International Conference on Biometrics (ICB)	edu	West Virginia University	United States	39.65404635	-79.96475355	71%	49	35	14	1	19	29
09d78009687bec46e70efcf39d4612822e61cb8c	raid	43	Consistent Re-identification in a Camera Network	[pdf]	Unknown						71%	49	35	14	3	34	13
fcc6fe6007c322641796cb8792718641856a22a7	youtube_makeup	YMU	Automatic facial makeup detection with application in face recognition	[pdf]	2013 International Conference on Biometrics (ICB)	edu	West Virginia University	United States	39.65404635	-79.96475355	71%	49	35	14	1	19	29
51eba481dac6b229a7490f650dff7b17ce05df73	imsitu	imSitu	Situation Recognition: Visual Semantic Role Labeling for Image Understanding	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						65%	52	34	18	1	46	6
9c23859ec7313f2e756a3e85575735e0c52249f4	facebook_100	Facebook100	Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook	[pdf]	CVPR 2011 WORKSHOPS	edu	Harvard University	United States	42.36782045	-71.12666653	63%	52	33	19	2	38	13
8be57cdad86fdf8c8290df4ca3149592f3c46dd3	m2vts	m2vts	The M2VTS Multimodal Face Database (Release 1.00)	[pdf]	Unknown						45%	73	33	40	2	39	33
9c23859ec7313f2e756a3e85575735e0c52249f4	pubfig_83	pubfig83	Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook	[pdf]	CVPR 2011 WORKSHOPS	edu	Harvard University	United States	42.36782045	-71.12666653	63%	52	33	19	2	38	13
31b05f65405534a696a847dd19c621b7b8588263	umd_faces	UMD	UMDFaces: An annotated face dataset for training deep networks	[pdf]	2017 IEEE International Joint Conference on Biometrics (IJCB)	edu	University of Maryland	United States	39.28996850	-76.62196103	79%	42	33	9	2	30	11
37d6f0eb074d207b53885bd2eb78ccc8a04be597	vmu	VMU	Can facial cosmetics affect the matching accuracy of face recognition systems?	[pdf]	2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)	edu	West Virginia University	United States	39.65404635	-79.96475355	62%	53	33	20	0	19	31
37d6f0eb074d207b53885bd2eb78ccc8a04be597	youtube_makeup	YMU	Can facial cosmetics affect the matching accuracy of face recognition systems?	[pdf]	2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)	edu	West Virginia University	United States	39.65404635	-79.96475355	62%	53	33	20	0	19	31
2161f6b7ee3c0acc81603b01dc0df689683577b9	large_scale_person_search	Large Scale Person Search	End-to-End Deep Learning for Person Search	[pdf]	CoRR						70%	46	32	14	0	27	16
18858cc936947fc96b5c06bbe3c6c2faa5614540	pilot_parliament	PPB	Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification	[pdf]	Unknown						53%	59	31	28	0	47	10
16e8b0a1e8451d5f697b94c0c2b32a00abee1d52	umb	UMB	UMB-DB: A database of partially occluded 3D faces	[pdf]	2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)						66%	47	31	16	2	22	24
356b431d4f7a2a0a38cf971c84568207dcdbf189	wider	WIDER	Recognize complex events from static images by fusing deep channels	[pdf]	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						70%	44	31	13	1	29	15
8b2dd5c61b23ead5ae5508bb8ce808b5ea266730	10k_US_adult_faces	10K US Adult Faces	The intrinsic memorability of face photographs.	[pdf]	Journal of experimental psychology. General						56%	52	29	23	2	36	14
070de852bc6eb275d7ca3a9cdde8f6be8795d1a3	d3dfacs	D3DFACS	A FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling	[pdf]	2011 International Conference on Computer Vision						52%	50	26	24	5	31	18
47662d1a368daf70ba70ef2d59eb6209f98b675d	fia	CMU FiA	The CMU Face In Action (FIA) Database	[pdf]	Unknown						48%	54	26	28	5	40	16
298cbc3dfbbb3a20af4eed97906650a4ea1c29e0	ferplus	FER+	Training deep networks for facial expression recognition with crowd-sourced label distribution	[pdf]	Unknown						74%	34	25	9	0	18	16
e27ef52c641c2b5100a1b34fd0b819e84a31b4df	sarc3d	Sarc3D	SARC3D: A New 3D Body Model for People Tracking and Re-identification	[pdf]	Unknown						74%	34	25	9	2	21	12
57fe081950f21ca03b5b375ae3e84b399c015861	cvc_01_barcelona	CVC-01	Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection	[pdf]	Unknown						51%	47	24	23	1	23	24
8875ae233bc074f5cd6c4ebba447b536a7e847a5	voxceleb2	VoxCeleb2	VoxCeleb2: Deep Speaker Recognition.	[pdf]	Unknown						71%	34	24	9	2	31	2
1c2802c2199b6d15ecefe7ba0c39bfe44363de38	youtube_poses	YouTube Pose	Personalizing Human Video Pose Estimation	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)	edu	Oxford University	United Kingdom	51.75208490	-1.25166460	67%	36	24	12	1	30	8
758d7e1be64cc668c59ef33ba8882c8597406e53	affectnet	AffectNet	AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild	[pdf]	CoRR						62%	37	23	14	0	25	11
d08cc366a4a0192a01e9a7495af1eb5d9f9e73ae	b3d_ac	B3D(AC)	A 3-D Audio-Visual Corpus of Affective Communication	[pdf]	IEEE Transactions on Multimedia						55%	42	23	19	2	26	15
53ae38a6bb2b21b42bac4f0c4c8ed1f9fa02f9d4	bp4d_plus	BP4D+	Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						55%	42	23	19	0	17	26
0cb2dd5f178e3a297a0c33068961018659d0f443	ijb_b	IJB-B	IARPA Janus Benchmark-B Face Dataset	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)	edu	Michigan State University	United States	42.71856800	-84.47791571	63%	35	22	13	3	25	8
41976ebc8ab76d9a6861487c97cc7fcbe3b6015f	moments_in_time	Moments in Time	Moments in Time Dataset: one million videos for event understanding	[pdf]	CoRR	edu	Columbia University	United States	40.84198360	-73.94368971	76%	29	22	7	2	27	2
a0cc5f73a37723a6dd465924143f1cb4976d0169	msmt_17	MSMT17	Person Transfer GAN to Bridge Domain Gap for Person Re-identification	[pdf]	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition						92%	24	22	2	1	20	4
fd8168f1c50de85bac58a8d328df0a50248b16ae	nd_2006	ND-2006	Using a Multi-Instance Enrollment Representation to Improve 3D Face Recognition	[pdf]	2007 First IEEE International Conference on Biometrics: Theory, Applications, and Systems	edu	University of Notre Dame	United States	41.70456775	-86.23822026	63%	35	22	13	3	18	15
0ceda9dae8b9f322df65ca2ef02caca9758aec6f	casablanca	Casablanca	Context-Aware CNNs for Person Head Detection	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)						64%	33	21	12	1	23	11
0ceda9dae8b9f322df65ca2ef02caca9758aec6f	hollywood_headset	HollywoodHeads	Context-Aware CNNs for Person Head Detection	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)						64%	33	21	12	1	23	11
488e475eeb3bb39a145f23ede197cd3620f1d98a	apis	APiS1.0	Pedestrian Attribute Classification in Surveillance: Database and Evaluation	[pdf]	2013 IEEE International Conference on Computer Vision Workshops						71%	28	20	8	0	13	15
84fe5b4ac805af63206012d29523a1e033bc827e	awe_ears	AWE Ears	Ear Recognition: More Than a Survey	[pdf]	Neurocomputing						77%	26	20	6	0	10	16
20388099cc415c772926e47bcbbe554e133343d1	cafe	#N/A	The Child Affective Facial Expression (CAFE) set: validity and reliability from untrained adults	[pdf]							54%	37	20	17	3	30	7
4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7	deep_fashion	DeepFashion	Fashion Landmark Detection in the Wild	[pdf]	Unknown						77%	26	20	6	1	16	10
0297448f3ed948e136bb06ceff10eccb34e5bb77	ilids_mcts	i-LIDS Multiple-Camera	Imagery Library for Intelligent Detection Systems (i-LIDS); A Standard for Testing Video Based Detection Systems	[pdf]	Proceedings 40th Annual 2006 International Carnahan Conference on Security Technology						57%	35	20	15	2	21	14
488e475eeb3bb39a145f23ede197cd3620f1d98a	svs	SVS	Pedestrian Attribute Classification in Surveillance: Database and Evaluation	[pdf]	2013 IEEE International Conference on Computer Vision Workshops						71%	28	20	8	0	13	15
213a579af9e4f57f071b884aa872651372b661fd	bbc_pose	BBC Pose	Automatic and Efficient Human Pose Estimation for Sign Language Videos	[pdf]	International Journal of Computer Vision						69%	26	18	8	0	16	11
64e0690dd176a93de9d4328f6e31fc4afe1e7536	duke_mtmc	Duke MTMC	Tracking Multiple People Online and in Real Time	[pdf]	Unknown						78%	23	18	5	1	12	10
221c18238b829c12b911706947ab38fd017acef7	rap_pedestrian	RAP	A Richly Annotated Dataset for Pedestrian Attribute Recognition	[pdf]	CoRR						69%	26	18	8	0	16	10
d818568838433a6d6831adde49a58cef05e0c89f	agedb	AgeDB	AgeDB: The First Manually Collected, In-the-Wild Age Database	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)	edu	Imperial College London	United Kingdom	51.49887085	-0.17560797	94%	18	17	1	0	14	3
4946ba10a4d5a7d0a38372f23e6622bd347ae273	coco_action	COCO-a	Describing Common Human Visual Actions in Images	[pdf]	Unknown						68%	25	17	8	0	23	2
d178cde92ab3dc0dd2ebee5a76a33d556c39448b	jiku_mobile	Jiku Mobile Video Dataset	The jiku mobile video dataset	[pdf]	Unknown	edu	National University of Singapore	Singapore	1.29620180	103.77689944	71%	24	17	7	0	6	19
2eb84aaba316b095d4bb51da1a3e4365bbf9ab1d	kin_face	UB KinFace	Genealogical face recognition based on UB KinFace database	[pdf]	CVPR 2011 WORKSHOPS	edu	SUNY Buffalo	United States	42.93362780	-78.88394479	55%	31	17	14	0	11	21
ea050801199f98a1c7c1df6769f23f658299a3ae	mpi_large	Large MPI Facial Expression	The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions	[pdf]							52%	33	17	16	4	29	4
ea050801199f98a1c7c1df6769f23f658299a3ae	mpi_small	Small MPI Facial Expression	The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions	[pdf]							52%	33	17	16	4	29	4
1e3df3ca8feab0b36fd293fe689f93bb2aaac591	immediacy	Immediacy	Multi-task Recurrent Neural Network for Immediacy Prediction	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)						62%	26	16	10	2	21	6
71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6	umd_faces	UMD	The Do’s and Don’ts for CNN-Based Face Verification	[pdf]	2017 IEEE International Conference on Computer Vision Workshops (ICCVW)						62%	26	16	10	2	16	8
19d1b811df60f86cbd5e04a094b07f32fff7a32a	york_3d	UOY 3D Face Database	Three-dimensional face recognition: an eigensurface approach	[pdf]	2004 International Conference on Image Processing, 2004. ICIP '04.						42%	38	16	22	4	24	13
b6c293f0420f7e945b5916ae44269fb53e139275	erce	ERCe	Video Synopsis by Heterogeneous Multi-source Correlation	[pdf]	2013 IEEE International Conference on Computer Vision						52%	29	15	14	2	14	13
b6c293f0420f7e945b5916ae44269fb53e139275	tisi	Times Square Intersection	Video Synopsis by Heterogeneous Multi-source Correlation	[pdf]	2013 IEEE International Conference on Computer Vision						52%	29	15	14	2	14	13
2a171f8d14b6b8735001a11c217af9587d095848	social_relation	Social Relation	Learning Social Relation Traits from Face Images	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)						61%	23	14	9	4	16	7
5753b2b5e442eaa3be066daa4a2ca8d8a0bb1725	fpoq	50 People One Question	Merging Pose Estimates Across Space and Time	[pdf]	Unknown						81%	16	13	3	0	13	4
44d23df380af207f5ac5b41459c722c87283e1eb	wider_attribute	WIDER Attribute	Human Attribute Recognition by Deep Hierarchical Contexts	[pdf]	Unknown						72%	18	13	5	0	14	4
45e616093a92e5f1e61a7c6037d5f637aa8964af	malf	MALF	Fine-grained evaluation on face detection in the wild	[pdf]	2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)						71%	17	12	5	0	12	5
774cbb45968607a027ae4729077734db000a1ec5	urban_tribes	Urban Tribes	From Bikers to Surfers: Visual Recognition of Urban Tribes	[pdf]	Unknown						67%	18	12	6	1	12	6
a94cae786d515d3450d48267e12ca954aab791c4	yawdd	YawDD	YawDD: a yawning detection dataset	[pdf]	Unknown						80%	15	12	3	1	2	13
4e6ee936eb50dd032f7138702fa39b7c18ee8907	dartmouth_children	Dartmouth Children	The Dartmouth Database of Children’s Faces: Acquisition and Validation of a New Face Stimulus Set	[pdf]							52%	21	11	10	2	18	3
4156b7e88f2e0ab0a7c095b9bab199ae2b23bd06	distance_nighttime	Long Distance Heterogeneous Face	Nighttime Face Recognition at Long Distance: Cross-Distance and Cross-Spectral Matching	[pdf]	Unknown						50%	22	11	11	3	11	10
25474c21613607f6bb7687a281d5f9d4ffa1f9f3	faceplace	Face Place	Recognizing disguised faces	[pdf]	Unknown						38%	29	11	18	0	18	10
b71d1aa90dcbe3638888725314c0d56640c1fef1	ifdb	IFDB	Iranian Face Database with age, pose and expression	[pdf]	2007 International Conference on Machine Vision	edu	Islamic Azad University	Iran	34.84529990	48.55962120	48%	23	11	12	2	14	9
57178b36c21fd7f4529ac6748614bb3374714e91	ijb_c	IJB-C	IARPA Janus Benchmark - C: Face Dataset and Protocol	[pdf]	2018 International Conference on Biometrics (ICB)						79%	14	11	3	0	12	1
ca3e88d87e1344d076c964ea89d91a75c417f5ee	imfdb	IMFDB	Indian Movie Face Database: A benchmark for face recognition under wide variations	[pdf]	2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)	edu	BVBCET, Hubli, India	India	15.36883320	75.12137960	65%	17	11	6	0	11	5
4563b46d42079242f06567b3f2e2f7a80cb3befe	vadana	VADANA	VADANA: A dense dataset for facial image analysis	[pdf]	2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)	edu	University of Delaware	United States	39.68103280	-75.75401840	73%	15	11	4	0	5	10
6403117f9c005ae81f1e8e6d1302f4a045e3d99d	alert_airport	ALERT Airport	A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence						50%	20	10	10	0	9	11
0f0fcf041559703998abf310e56f8a2f90ee6f21	feret	FERET	The FERET Evaluation Methodology for Face-Recognition Algorithms	[pdf]	Unknown						34%	29	10	19	3	18	9
2f43b614607163abf41dfe5d17ef6749a1b61304	hrt_transgender	HRT Transgender	Investigating the Periocular-Based Face Recognition Across Gender Transformation	[pdf]	IEEE Transactions on Information Forensics and Security	edu	University of North Carolina at Wilmington	United States	34.22498270	-77.86907744	77%	13	10	3	0	6	8
2624d84503bc2f8e190e061c5480b6aa4d89277a	afew_va	AFEW-VA	AFEW-VA database for valence and arousal estimation in-the-wild	[pdf]	Image Vision Comput.						50%	18	9	9	0	12	5
8d5998cd984e7cce307da7d46f155f9db99c6590	chalearn	ChaLearn	ChaLearn looking at people: A review of events and resources	[pdf]	2017 International Joint Conference on Neural Networks (IJCNN)						69%	13	9	4	1	8	4
a8d0b149c2eadaa02204d3e4356fbc8eccf3b315	hi4d_adsip	Hi4D-ADSIP	Hi4D-ADSIP 3-D dynamic facial articulation database	[pdf]	Image Vision Comput.						60%	15	9	6	1	4	11
bd26dabab576adb6af30484183c9c9c8379bf2e0	scut_fbp	SCUT-FBP	SCUT-FBP: A Benchmark Dataset for Facial Beauty Perception	[pdf]	2015 IEEE International Conference on Systems, Man, and Cybernetics						47%	19	9	10	2	6	13
060820f110a72cbf02c14a6d1085bd6e1d994f6a	caltech_crp	Caltech CRP	Fine-grained classification of pedestrians in video: Benchmark and state of the art	[pdf]	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)	edu	California Institute of Technology	United States	34.13710185	-118.12527487	47%	17	8	9	0	9	8
2b926b3586399d028b46315d7d9fb9d879e4f79c	frav3d	FRAV3D	Multimodal 2D, 2.5D & 3D Face Verification	[pdf]	2006 International Conference on Image Processing	edu	Universidad Rey Juan Carlos, Spain	Spain	40.33586610	-3.87694320	57%	14	8	6	0	2	12
8f02ec0be21461fbcedf51d864f944cfc42c875f	hda_plus	HDA+	The HDA+ Data Set for Research on Fully Automated Re-identification Systems	[pdf]	Unknown						50%	16	8	8	1	10	6
c570d1247e337f91e555c3be0e8c8a5aba539d9f	mcgill	McGill Real World	Robust semi-automatic head pose labeling for real-world face video sequences	[pdf]	Multimedia Tools and Applications	edu	McGill University	Canada	45.50397610	-73.57496870	44%	18	8	10	0	13	7
041d3eedf5e45ce5c5229f0181c5c576ed1fafd6	ucf_selfie	UCF Selfie	How to Take a Good Selfie?	[pdf]	Unknown						73%	11	8	3	0	7	5
633c851ebf625ad7abdda2324e9de093cf623141	appa_real	APPA-REAL	Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database	[pdf]	2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)						70%	10	7	3	0	8	3
2cd7821fcf5fae53a185624f7eeda007434ae037	geofaces	GeoFaces	Exploring the geo-dependence of human face appearance	[pdf]	IEEE Winter Conference on Applications of Computer Vision						88%	8	7	1	0	5	3
2cd7821fcf5fae53a185624f7eeda007434ae037	geofaces	GeoFaces	Exploring the geo-dependence of human face appearance	[pdf]	IEEE Winter Conference on Applications of Computer Vision						88%	8	7	1	0	5	3
7f4040b482d16354d5938c1d1b926b544652bf5b	nova_emotions	Novaemötions Dataset	Competitive affective gaming: winning with a smile	[pdf]	Unknown	edu	Universidade NOVA de Lisboa, Caparica, Portugal	Portugal	38.66096400	-9.20581300	78%	9	7	2	0	5	4
4b4106614c1d553365bad75d7866bff0de6056ed	ufi	UFI	Unconstrained Facial Images: Database for Face Recognition Under Real-World Conditions	[pdf]	Unknown						50%	12	6	6	0	4	6
22f656d0f8426c84a33a267977f511f127bfd7f3	expw	ExpW	From Facial Expression Recognition to Interpersonal Relation Prediction	[pdf]	International Journal of Computer Vision						55%	11	6	5	0	5	4
4af89578ac237278be310f7660a408b03f12d603	geofaces	GeoFaces	Large-scale geo-facial image analysis	[pdf]	EURASIP J. Image and Video Processing						100%	6	6	0	0	4	2
2d45cfd838016a6e39f6b766ffe85acd649440c7	mcgill	McGill Real World	Hierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos	[pdf]	Computer Vision and Image Understanding						75%	8	6	2	0	5	3
8fee9b8c44626c4ac6b96ef183394bc4f36dc95f	megaage	MegaAge	Quantifying Facial Age by Posterior of Age Comparisons	[pdf]	CoRR						50%	12	6	6	0	7	3
9e5378e7b336c89735d3bb15cf67eff96f86d39a	precarious	Precarious	Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						43%	14	6	8	0	12	1
1a40092b493c6b8840257ab7f96051d1a4dbfeb2	sports_videos_in_the_wild	SVW	Sports Videos in the Wild (SVW): A video dataset for sports analysis	[pdf]	2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)						86%	7	6	1	1	5	2
8627f019882b024aef92e4eb9355c499c733e5b7	used	USED Social Event Dataset	USED: a large-scale social event detection dataset	[pdf]	Unknown	edu	University of Trento	Italy	46.06588360	11.11598940	86%	7	6	1	0	3	4
0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e	lag	LAG	Large age-gap face verification by feature injection in deep networks	[pdf]	Pattern Recognition Letters						71%	7	5	2	0	3	4
07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1	uccs	UCCS	Large scale unconstrained open set face database	[pdf]	2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)	company	Securics Inc., Colorado Springs, CO	United States	38.83388160	-104.82136340	83%	6	5	1	0	4	2
d4f1eb008eb80595bcfdac368e23ae9754e1e745	uccs	UCCS	Unconstrained Face Detection and Open-Set Face Recognition Challenge	[pdf]	2017 IEEE International Joint Conference on Biometrics (IJCB)						100%	5	5	0	0	4	1
922e0a51a3b8c67c4c6ac09a577ff674cbd28b34	v47	V47	Re-identification of pedestrians with variable occlusion and scale	[pdf]	2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)	edu	Kingston University	United Kingdom	51.42930860	-0.26840440	56%	9	5	4	1	5	4
7ebb153704706e457ab57b432793d2b6e5d12592	vgg_celebs_in_places	CIP	Faces in Places: compound query retrieval	[pdf]	Unknown						100%	5	5	0	0	3	2
56ae6d94fc6097ec4ca861f0daa87941d1c10b70	cmdp	CMDP	Distance Estimation of an Unknown Person from a Portrait	[pdf]	Unknown						44%	9	4	5	0	6	3
563c940054e4b456661762c1ab858e6f730c3159	data_61	Data61 Pedestrian	A Multi-modal Graphical Model for Scene Analysis	[pdf]	2015 IEEE Winter Conference on Applications of Computer Vision						50%	8	4	4	0	5	3
287ddcb3db5562235d83aee318f318b8d5e43fb1	erce	ERCe	Learning from Multiple Sources for Video Summarisation	[pdf]	International Journal of Computer Vision						57%	7	4	3	0	4	3
dd65f71dac86e36eecbd3ed225d016c3336b4a13	families_in_the_wild	FIW	Visual Kinship Recognition of Families in the Wild	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence	edu	University of Massachusetts Dartmouth	United States	41.62772475	-71.00724501	80%	5	4	1	0	2	3
137aa2f891d474fce1e7a1d1e9b3aefe21e22b34	hrt_transgender	HRT Transgender	Is the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset	[pdf]	2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)						57%	7	4	3	1	3	5
9cc8cf0c7d7fa7607659921b6ff657e17e135ecc	mafa	MAsked FAces	Detecting Masked Faces in the Wild with LLE-CNNs	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						80%	5	4	1	0	4	1
23e824d1dfc33f3780dd18076284f07bd99f1c43	mifs	MIFS	Spoofing faces using makeup: An investigative study	[pdf]	2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)	edu	INRIA Méditerranée	France	43.61581310	7.06838000	67%	6	4	2	0	1	5
22909dd19a0ec3b6065334cb5be5392cb24d839d	pets	PETS 2017	PETS 2017: Dataset and Challenge	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)						44%	9	4	5	0	1	8
54983972aafc8e149259d913524581357b0f91c3	reseed	ReSEED	ReSEED: social event dEtection dataset	[pdf]	Unknown						67%	6	4	2	1	1	5
287ddcb3db5562235d83aee318f318b8d5e43fb1	tisi	Times Square Intersection	Learning from Multiple Sources for Video Summarisation	[pdf]	International Journal of Computer Vision						57%	7	4	3	0	4	3
9e31e77f9543ab42474ba4e9330676e18c242e72	imdb_face	IMDb Face	The Devil of Face Recognition is in the Noise	[pdf]	Unknown	edu	Nanyang Technological University	Singapore	1.34841040	103.68297965	50%	6	3	3	0	4	1
a7fe834a0af614ce6b50dc093132b031dd9a856b	market_1501	Market 1501	Orientation Driven Bag of Appearances for Person Re-identification	[pdf]	CoRR						43%	7	3	4	0	4	4
578d4ad74818086bb64f182f72e2c8bd31e3d426	mr2	MR2	The MR2: A multi-racial, mega-resolution database of facial stimuli.	[pdf]	Behavior research methods						43%	7	3	4	0	7	0
ad01687649d95cd5b56d7399a9603c4b8e2217d7	mrp_drone	MRP Drone	Investigating Open-World Person Re-identification Using a Drone	[pdf]	Unknown						43%	7	3	4	1	5	2
a7fe834a0af614ce6b50dc093132b031dd9a856b	pku_reid	PKU-Reid	Orientation Driven Bag of Appearances for Person Re-identification	[pdf]	CoRR						43%	7	3	4	0	4	4
3531332efe19be21e7401ba1f04570a142617236	ufdd	UFDD	Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results	[pdf]	CoRR						75%	4	3	1	0	4	0
17b46e2dad927836c689d6787ddb3387c6159ece	geofaces	GeoFaces	GeoFaceExplorer: exploring the geo-dependence of facial attributes	[pdf]	Unknown						100%	2	2	0	0	1	1
e58dd160a76349d46f881bd6ddbc2921f08d1050	gfw	Grouping Face in the Wild	Merge or Not? Learning to Group Faces via Imitation Learning	[pdf]	Unknown						100%	2	2	0	0	2	0
4eab317b5ac436a949849ed286baa3de2a541eef	laofiw	LAOFIW	Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings	[pdf]	Unknown						100%	2	2	0	0	2	0
f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f	pku_reid	PKU-Reid	Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification	[pdf]	Unknown						50%	4	2	2	0	1	2
4d4bb462c9f1d4e4ab1e4aa6a75cc0bc71b38461	3dddb_unconstrained	3D Dynamic	A 3D Dynamic Database for Unconstrained Face Recognition	[pdf]	Unknown						50%	2	1	1	0	1	1
a40f9bfd3c45658ee8da70e1f2dfbe1f0c744d43	4dfab	4DFAB	4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications	[pdf]	CoRR						25%	4	1	3	0	2	2
65355cbb581a219bd7461d48b3afd115263ea760	complex_activities	Ongoing Complex Activities	Recognition of ongoing complex activities by sequence prediction over a hierarchical label space	[pdf]	2016 IEEE Winter Conference on Applications of Computer Vision (WACV)						33%	3	1	2	0	3	0
55c40cbcf49a0225e72d911d762c27bb1c2d14aa	ifad	IFAD	Indian Face Age Database: A Database for Face Recognition with Age Variation	[pdf]	Unknown						50%	2	1	1	0	2	0
c06b13d0ec3f5c43e2782cd22542588e233733c3	nova_emotions	Novaemötions Dataset	Crowdsourcing facial expressions for affective-interaction	[pdf]	Computer Vision and Image Understanding						100%	1	1	0	0	1	0
2306b2a8fba28539306052764a77a0d0f5d1236a	qmul_surv_face	QMUL-SurvFace	Surveillance Face Recognition Challenge	[pdf]	CoRR	edu	Queen Mary University of London	United Kingdom	51.52472720	-0.03931035	100%	1	1	0	0	1	0
d3f5a1848b0028d8ab51d0b0673732cad2e3c8c9	stair_actions	STAIR Action	STAIR Actions: A Video Dataset of Everyday Home Actions	[pdf]	CoRR						100%	1	1	0	0	1	0
5ad4e9f947c1653c247d418f05dad758a3f9277b	wlfdb	WLFDB	WLFDB : Weakly Labeled Face Databases	[pdf]	Unknown						100%	1	1	0	0	0	1
7b92d1e53cc87f7a4256695de590098a2f30261e	appa_real	APPA-REAL	From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation	[pdf]	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)						100%	0	0	0	0	0	0
1dc35905a1deff8bc74688f2d7e2f48fd2273275	caltech_pedestrians	Caltech Pedestrians	Pedestrian detection: A benchmark	[pdf]	2009 IEEE Conference on Computer Vision and Pattern Recognition						100%	0	0	0	0	0	0
15e1af79939dbf90790b03d8aa02477783fb1d0f	duke_mtmc	Duke MTMC	Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro	[pdf]	2017 IEEE International Conference on Computer Vision (ICCV)						100%	0	0	0	0	0	0
72a155c987816ae81c858fddbd6beab656d86220	europersons	EuroCity Persons	The EuroCity Persons Dataset: A Novel Benchmark for Object Detection	[pdf]	CoRR						0%	2	0	2	0	2	0
670637d0303a863c1548d5b19f705860a23e285c	face_tracer	FaceTracer	Face swapping: automatically replacing faces in photographs	[pdf]	Unknown						100%	0	0	0	0	0	0
12ad3b5bbbf407f8e54ea692c07633d1a867c566	graz	Graz Pedestrian	Object recognition using segmentation for feature detection	[pdf]	Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.	edu	Inst. of Comput. Sci., Univ. of Leoben, Austria	Austria	47.38473720	15.09302010	100%	0	0	0	0	0	0
bd88bb2e4f351352d88ee7375af834360e223498	hda_plus	HDA+	HDA dataset-DRAFT 1 A Multi-camera video data set for research on High-Definition surveillance	[pdf]	Unknown						0%	2	0	2	0	1	2
0ab7cff2ccda7269b73ff6efd9d37e1318f7db25	ibm_dif	IBM Diversity in Faces	Facial Coding Scheme Reference 1 Craniofacial Distances	[pdf]	Unknown						100%	0	0	0	0	0	0
066d71fcd997033dce4ca58df924397dfe0b5fd1	ifdb	IFDB	Iranian Face Database and Evaluation with a New Detection Algorithm	[pdf]	Unknown						100%	0	0	0	0	0	0
140438a77a771a8fb656b39a78ff488066eb6b50	lfpw	LFPW	Localizing Parts of Faces Using a Consensus of Exemplars	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence						100%	0	0	0	0	0	0
079a0a3bf5200994e1f972b1b9197bf2f90e87d4	mit_cbcl	MIT CBCL	Component-Based Face Recognition with 3D Morphable Models	[pdf]	2004 Conference on Computer Vision and Pattern Recognition Workshop						100%	0	0	0	0	0	0
2fda164863a06a92d3a910b96eef927269aeb730	names_and_faces	News Dataset	Names and faces in the news	[pdf]	Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.						100%	0	0	0	0	0	0
d3200d49a19a4a4e4e9745ee39649b65d80c834b	scut_head	SCUT HEAD	Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture	[pdf]	2018 24th International Conference on Pattern Recognition (ICPR)						100%	0	0	0	0	0	0
8990cdce3f917dad622e43e033db686b354d057c	tiny_faces	TinyFace	Low-Resolution Face Recognition	[pdf]	CoRR						100%	0	0	0	0	0	0
6ad5a38df8dd4cdddd74f31996ce096d41219f72	tud_brussels	TUD-Brussels	Multi-cue onboard pedestrian detection	[pdf]	2009 IEEE Conference on Computer Vision and Pattern Recognition						100%	0	0	0	0	0	0
6ad5a38df8dd4cdddd74f31996ce096d41219f72	tud_motionpairs	TUD-Motionparis	Multi-cue onboard pedestrian detection	[pdf]	2009 IEEE Conference on Computer Vision and Pattern Recognition						100%	0	0	0	0	0	0
01959ef569f74c286956024866c1d107099199f7	vqa	VQA	VQA: Visual Question Answering	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)						100%	0	0	0	0	0	0
9b9bf5e623cb8af7407d2d2d857bc3f1b531c182	who_goes_there	WGT	Who goes there?: approaches to mapping facial appearance diversity	[pdf]	Unknown	edu	University of Kentucky	United States	38.03337420	-84.50177580	100%	0	0	0	0	0	0
36bccfb2ad847096bc76777e544f305813cd8f5b	wildtrack	WildTrack	WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection	[pdf]	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition						100%	0	0	0	0	0	0

\ No newline at end of file +Coverage

Coverage

Paper ID	Megapixels Key	Megapixels Name	Report Link	PDF Link	Journal	Type	Address	Country	Lat	Lng	Coverage	Total Citations	Geocoded Citations	Unknown Citations	Empty Citations	With PDF	With DOI
0e986f51fe45b00633de9fd0c94d082d2be51406	afw	AFW	Face detection, pose estimation, and landmark localization in the wild	[pdf]	2012 IEEE Conference on Computer Vision and Pattern Recognition						73%	999	725	274	35	576	422
162ea969d1929ed180cc6de9f0bf116993ff6e06	vgg_faces	VGG Face	Deep Face Recognition	[pdf]	Unknown						66%	999	657	342	48	558	429
b5f2846a506fc417e7da43f6a7679146d99c5e96	ucf_101	UCF101	UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild	[pdf]	CoRR						64%	999	643	356	56	628	362
370b5757a5379b15e30d619e4d3fb9e8e13f3256	lfw	LFW	Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments	[pdf]	Unknown						64%	999	637	362	58	598	382
5e0f8c355a37a5a89351c02f174e7a5ddcb98683	coco	COCO	Microsoft COCO: Common Objects in Context	[pdf]	Unknown						61%	999	610	389	25	722	259
4d9a02d080636e9666c4d1cc438b9893391ec6c7	cohn_kanade_plus	CK+	The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression	[pdf]	2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops	edu	University of Pittsburgh	United States	40.44415295	-79.96243993	61%	999	608	391	57	470	518
0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a	voc	VOC	The Pascal Visual Object Classes (VOC) Challenge	[pdf]	International Journal of Computer Vision	company	Microsoft	United States	47.64233180	-122.13693020	61%	999	608	390	28	557	422
026e3363b7f76b51cc711886597a44d5f1fd1de2	kitti	KITTI	Vision meets robotics: The KITTI dataset	[pdf]	I. J. Robotics Res.						60%	999	603	396	36	553	462
f72f6a45ee240cc99296a287ff725aaa7e7ebb35	caltech_pedestrians	Caltech Pedestrians	Pedestrian Detection: An Evaluation of the State of the Art	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence	edu	California Institute of Technology	United States	34.13710185	-118.12527487	60%	999	602	397	68	527	466
759a3b3821d9f0e08e0b0a62c8b693230afc3f8d	pubfig	PubFig	Attribute and simile classifiers for face verification	[pdf]	2009 IEEE 12th International Conference on Computer Vision						64%	914	589	325	46	586	316
6d96f946aaabc734af7fe3fc4454cf8547fcd5ed	ar_facedb	AR Face	The AR face database	[pdf]	Unknown						58%	999	580	419	58	458	530
10d6b12fa07c7c8d6c8c3f42c7f1c061c131d4c5	inria_person	INRIA Pedestrian	Histograms of oriented gradients for human detection	[pdf]	2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)	edu	INRIA Rhone-Alps, Montbonnot, France	France	45.21788600	5.80736900	57%	999	574	425	41	419	509
31b58ced31f22eab10bd3ee2d9174e7c14c27c01	tiny_images	#N/A	80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence						57%	999	574	425	89	644	337
18ae7c9a4bbc832b8b14bc4122070d7939f5e00e	frgc	FRGC	Overview of the face recognition grand challenge	[pdf]	2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)	edu	NIST	United States	39.14004000	-77.21850600	57%	999	570	428	84	549	442
18c72175ddbb7d5956d180b65a96005c100f6014	yale_faces	YaleFaces	From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose	[pdf]	IEEE Trans. Pattern Anal. Mach. Intell.						56%	999	562	437	66	498	462
2ad0ee93d029e790ebb50574f403a09854b65b7e	yale_faces	YaleFaces	Acquiring linear subspaces for face recognition under variable lighting	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence						55%	999	554	445	94	495	491
23fc83c8cfff14a16df7ca497661264fc54ed746	cohn_kanade	CK	Comprehensive Database for Facial Expression Analysis	[pdf]	Unknown						55%	999	553	446	69	540	439
b62628ac06bbac998a3ab825324a41a11bc3a988	m2vtsdb_extended	xm2vtsdb	XM2VTSDB : The extended M2VTS database	[pdf]	Unknown						63%	864	541	323	37	493	404
6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4	celeba	CelebA	Deep Learning Face Attributes in the Wild	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)	edu	Chinese University of Hong Kong	China	22.41626320	114.21093180	58%	919	531	387	61	694	201
dc8b25e35a3acb812beb499844734081722319b4	feret	FERET	The FERET database and evaluation procedure for face-recognition algorithms	[pdf]	Image Vision Comput.						53%	999	525	474	101	591	421
45c31cde87258414f33412b3b12fc5bec7cb3ba9	jaffe	JAFFE	Coding Facial Expressions with Gabor Wavelets	[pdf]	Unknown						57%	899	509	390	51	431	451
55206f0b5f57ce17358999145506cd01e570358c	orl	ORL	Parameterisation of a stochastic model for human face identification	[pdf]	Unknown						50%	999	501	498	94	543	427
4d423acc78273b75134e2afd1777ba6d3a398973	cmu_pie	CMU PIE	The CMU Pose, Illumination, and Expression (PIE) Database	[pdf]	Unknown						59%	760	451	308	49	404	345
4d423acc78273b75134e2afd1777ba6d3a398973	multi_pie	MULTIPIE	The CMU Pose, Illumination, and Expression (PIE) Database	[pdf]	Unknown						59%	760	451	308	49	404	345
2830fb5282de23d7784b4b4bc37065d27839a412	h3d	H3D	Poselets: Body part detectors trained using 3D human pose annotations	[pdf]	2009 IEEE 12th International Conference on Computer Vision						59%	716	423	293	58	492	222
6273b3491e94ea4dd1ce42b791d77bdc96ee73a8	viper	VIPeR	Evaluating Appearance Models for Recognition, Reacquisition, and Tracking	[pdf]	Unknown	edu	University of California, Santa Cruz	United States	36.99158470	-122.05827710	67%	624	415	209	33	342	276
6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3	cuhk_campus_03	CUHK03 Campus	DeepReID: Deep Filter Pairing Neural Network for Person Re-identification	[pdf]	2014 IEEE Conference on Computer Vision and Pattern Recognition						73%	568	413	155	19	320	235
2258e01865367018ed6f4262c880df85b94959f8	mot	MOT	Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics	[pdf]	EURASIP J. Image and Video Processing						58%	632	366	264	44	358	264
95f12d27c3b4914e0668a268360948bce92f7db3	helen	Helen	Interactive Facial Feature Localization	[pdf]	Unknown	company	Adobe	United States	37.33077030	-121.89409510	83%	440	364	76	7	250	182
4308bd8c28e37e2ed9a3fcfe74d5436cce34b410	market_1501	Market 1501	Scalable Person Re-identification: A Benchmark	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)	company	Microsoft	United States	47.64233180	-122.13693020	77%	460	356	104	9	263	185
853bd61bc48a431b9b1c7cab10c603830c488e39	casia_webface	CASIA Webface	Learning Face Representation from Scratch	[pdf]	CoRR	edu	Chinese Academy of Sciences	China	40.00447950	116.37023800	72%	476	344	132	19	290	182
560e0e58d0059259ddf86fcec1fa7975dee6a868	youtube_faces	YouTubeFaces	Face recognition in unconstrained videos with matched background similarity	[pdf]	CVPR 2011	edu	Tel Aviv University	Israel	32.11198890	34.80459702	67%	509	343	165	23	294	216
3316521a5527c7700af8ae6aef32a79a8b83672c	tud_campus	TUD-Campus	People-tracking-by-detection and people-detection-by-tracking	[pdf]	2008 IEEE Conference on Computer Vision and Pattern Recognition						60%	545	325	219	37	330	218
3316521a5527c7700af8ae6aef32a79a8b83672c	tud_crossing	TUD-Crossing	People-tracking-by-detection and people-detection-by-tracking	[pdf]	2008 IEEE Conference on Computer Vision and Pattern Recognition						60%	545	325	219	37	330	218
3316521a5527c7700af8ae6aef32a79a8b83672c	tud_pedestrian	TUD-Pedestrian	People-tracking-by-detection and people-detection-by-tracking	[pdf]	2008 IEEE Conference on Computer Vision and Pattern Recognition						60%	545	325	219	37	330	218
cc589c499dcf323fe4a143bbef0074c3e31f9b60	bu_3dfe	BU-3DFE	A 3D facial expression database for facial behavior research	[pdf]	7th International Conference on Automatic Face and Gesture Recognition (FGR06)						54%	588	316	271	44	306	282
4053e3423fb70ad9140ca89351df49675197196a	bio_id	BioID Face	Robust Face Detection Using the Hausdorff Distance	[pdf]	Unknown						57%	511	292	219	49	329	182
8a3c5507237957d013a0fe0f082cab7f757af6ee	mafl	MAFL	Facial Landmark Detection by Deep Multi-task Learning	[pdf]	Unknown						71%	407	287	120	16	252	153
8a3c5507237957d013a0fe0f082cab7f757af6ee	mtfl	MTFL	Facial Landmark Detection by Deep Multi-task Learning	[pdf]	Unknown						71%	407	287	120	16	252	153
3325860c0c82a93b2eac654f5324dd6a776f609e	mpii_human_pose	MPII Human Pose	2D Human Pose Estimation: New Benchmark and State of the Art Analysis	[pdf]	2014 IEEE Conference on Computer Vision and Pattern Recognition						70%	387	270	117	17	291	96
16c7c31a7553d99f1837fc6e88e77b5ccbb346b8	prid	PRID	Person Re-identification by Descriptive and Discriminative Classification	[pdf]	Unknown						68%	386	263	123	23	204	180
044d9a8c61383312cdafbcc44b9d00d650b21c70	fiw_300	300-W	300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge	[pdf]	2013 IEEE International Conference on Computer Vision Workshops						81%	323	262	61	15	208	120
9055b155cbabdce3b98e16e5ac9c0edf00f9552f	morph	MORPH Commercial	MORPH: a longitudinal image database of normal adult age-progression	[pdf]	7th International Conference on Automatic Face and Gesture Recognition (FGR06)	edu	North Carolina University	United States	34.22398690	-77.87013250	59%	437	259	177	22	228	203
9055b155cbabdce3b98e16e5ac9c0edf00f9552f	morph_nc	MORPH-II	MORPH: a longitudinal image database of normal adult age-progression	[pdf]	7th International Conference on Automatic Face and Gesture Recognition (FGR06)	edu	North Carolina University	United States	34.22398690	-77.87013250	59%	437	259	177	22	228	203
2485c98aa44131d1a2f7d1355b1e372f2bb148ad	cas_peal	CAS-PEAL	The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations	[pdf]	IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans						59%	429	255	174	38	198	234
2a75f34663a60ab1b04a0049ed1d14335129e908	mmi_facial_expression	MMI Facial Expression Dataset	Web-based database for facial expression analysis	[pdf]	2005 IEEE International Conference on Multimedia and Expo						54%	464	250	214	45	282	188
75da1df4ed319926c544eefe17ec8d720feef8c0	fddb	FDDB	FDDB: A benchmark for face detection in unconstrained settings	[pdf]	Unknown						65%	380	248	132	16	202	164
2724ba85ec4a66de18da33925e537f3902f21249	cofw	COFW	Robust Face Landmark Estimation under Occlusion	[pdf]	2013 IEEE International Conference on Computer Vision	edu	California Institute of Technology	United States	34.13710185	-118.12527487	75%	325	245	80	11	194	133
6dd0597f8513dc100cd0bc1b493768cde45098a9	stickmen_buffy	Buffy Stickmen	Learning to parse images of articulated bodies	[pdf]	Unknown						64%	369	237	131	29	237	131
6dd0597f8513dc100cd0bc1b493768cde45098a9	stickmen_pascal	Stickmen PASCAL	Learning to parse images of articulated bodies	[pdf]	Unknown						64%	369	237	131	29	237	131
6dd0597f8513dc100cd0bc1b493768cde45098a9	stickmen_pascal	Stickmen PASCAL	Learning to parse images of articulated bodies	[pdf]	Unknown						64%	369	237	131	29	237	131
3765df816dc5a061bc261e190acc8bdd9d47bec0	rafd	RaFD	Presentation and validation of the Radboud Faces Database	[pdf]	Unknown						48%	487	234	253	39	342	144
a74251efa970b92925b89eeef50a5e37d9281ad0	aflw	AFLW	Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization	[pdf]	2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)	edu	TU Graz	Austria	47.07071400	15.43950400	70%	318	222	96	27	211	107
9361b784e73e9238d5cefbea5ac40d35d1e3103f	oxford_town_centre	TownCentre	Stable multi-target tracking in real-time surveillance video	[pdf]	CVPR 2011	edu	University of Oxford	United Kingdom	51.75345380	-1.25400997	68%	328	222	106	13	186	140
4b1d23d17476fcf78f4cbadf69fb130b1aa627c0	leeds_sports_pose	Leeds Sports Pose	Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation	[pdf]	Unknown						76%	285	218	67	5	197	93
4b1d23d17476fcf78f4cbadf69fb130b1aa627c0	stickmen_buffy	Buffy Stickmen	Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation	[pdf]	Unknown						76%	285	218	67	5	197	93
13f06b08f371ba8b5d31c3e288b4deb61335b462	eth_andreas_ess	ETHZ Pedestrian	Depth and Appearance for Mobile Scene Analysis	[pdf]	2007 IEEE 11th International Conference on Computer Vision	edu	ETH Zurich	Switzerland	47.37631300	8.54766990	63%	324	205	119	26	193	127
2acf7e58f0a526b957be2099c10aab693f795973	bosphorus	The Bosphorus	Bosphorus Database for 3D Face Analysis	[pdf]	Unknown						57%	352	200	152	17	162	188
5981e6479c3fd4e31644db35d236bfb84ae46514	mot	MOT	Learning to associate: HybridBoosted multi-target tracker for crowded scene	[pdf]	2009 IEEE Conference on Computer Vision and Pattern Recognition	edu	University of Southern California	United States	34.02241490	-118.28634407	61%	326	200	125	22	190	137
639937b3a1b8bded3f7e9a40e85bd3770016cf3c	bfm	BFM	A 3D Face Model for Pose and Illumination Invariant Face Recognition	[pdf]	2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance						57%	343	195	148	23	223	114
44484d2866f222bbb9b6b0870890f9eea1ffb2d0	cuhk_campus_03	CUHK03 Campus	Human Reidentification with Transferred Metric Learning	[pdf]	Unknown						69%	280	194	86	9	139	137
436f798d1a4e54e5947c1e7d7375c31b2bdb4064	tud_multiview	TUD-Multiview	Monocular 3D pose estimation and tracking by detection	[pdf]	2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition	edu	TU Darmstadt	Germany	49.87482770	8.65632810	60%	311	188	123	33	208	105
436f798d1a4e54e5947c1e7d7375c31b2bdb4064	tud_stadtmitte	TUD-Stadtmitte	Monocular 3D pose estimation and tracking by detection	[pdf]	2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition	edu	TU Darmstadt	Germany	49.87482770	8.65632810	60%	311	188	123	33	208	105
010f0f4929e6a6644fb01f0e43820f91d0fad292	yfcc_100m	YFCC100M	YFCC100M: the new data in multimedia research	[pdf]	Commun. ACM	edu	Carnegie Mellon University	United States	40.44416190	-79.94272826	64%	274	176	98	23	172	100
1be498d4bbc30c3bfd0029114c784bc2114d67c0	adience	Adience	Age and Gender Estimation of Unfiltered Faces	[pdf]	IEEE Transactions on Information Forensics and Security	edu	Open University of Israel	Israel	32.77824165	34.99565673	72%	237	171	66	3	127	100
38b55d95189c5e69cf4ab45098a48fba407609b4	cuhk_campus_03	CUHK03 Campus	Locally Aligned Feature Transforms across Views	[pdf]	2013 IEEE Conference on Computer Vision and Pattern Recognition						64%	258	164	94	15	136	117
833fa04463d90aab4a9fe2870d480f0b40df446e	sun_attributes	SUN	SUN attribute database: Discovering, annotating, and recognizing scene attributes	[pdf]	2012 IEEE Conference on Computer Vision and Pattern Recognition	edu	Brown University	United States	41.82686820	-71.40123146	61%	264	160	104	27	206	56
140c95e53c619eac594d70f6369f518adfea12ef	ijb_a	IJB-A	Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A	[pdf]	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						67%	237	158	79	14	159	76
2eed184680edcdec8a3b605ad1a3ba8e8f7cc2e9	graz	Graz Pedestrian	Generic object recognition with boosting	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence	edu	TU Graz	Austria	47.07071400	15.43950400	53%	293	155	138	16	195	97
6204776d31359d129a582057c2d788a14f8aadeb	youtube_celebrities	YouTube Celebrities	Face tracking and recognition with visual constraints in real-world videos	[pdf]	2008 IEEE Conference on Computer Vision and Pattern Recognition	edu	Rutgers University	United States	40.47913175	-74.43168868	57%	267	152	114	11	125	121
013909077ad843eb6df7a3e8e290cfd5575999d2	fiw_300	300-W	A Semi-automatic Methodology for Facial Landmark Annotation	[pdf]	2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops						82%	184	151	33	8	120	67
96e0cfcd81cdeb8282e29ef9ec9962b125f379b0	megaface	MegaFace	The MegaFace Benchmark: 1 Million Faces for Recognition at Scale	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						69%	216	150	66	11	149	61
21d9d0deed16f0ad62a4865e9acf0686f4f15492	images_of_groups	Images of Groups	Understanding images of groups of people	[pdf]	2009 IEEE Conference on Computer Vision and Pattern Recognition	edu	Carnegie Mellon University	United States	40.44416190	-79.94272826	57%	256	147	109	13	165	84
4c170a0dcc8de75587dae21ca508dab2f9343974	face_tracer	FaceTracer	FaceTracer: A Search Engine for Large Collections of Images with Faces	[pdf]	Unknown						65%	225	146	79	17	146	77
27a2fad58dd8727e280f97036e0d2bc55ef5424c	duke_mtmc	Duke MTMC	Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking	[pdf]	Unknown	edu	Duke University	United States	35.99905220	-78.92906290	86%	169	145	24	3	113	54
27a2fad58dd8727e280f97036e0d2bc55ef5424c	mot	MOT	Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking	[pdf]	Unknown	edu	Duke University	United States	35.99905220	-78.92906290	86%	169	145	24	3	113	54
e8de844fefd54541b71c9823416daa238be65546	visual_phrases	Phrasal Recognition	Recognition using visual phrases	[pdf]	CVPR 2011	edu	University of Illinois, Urbana-Champaign	United States	40.11116745	-88.22587665	59%	246	144	102	17	170	68
98bb029afe2a1239c3fdab517323066f0957b81b	ilids_mcts_vid	iLIDS-VID	Person Re-identification by Video Ranking	[pdf]	Unknown						68%	209	143	66	8	111	97
291265db88023e92bb8c8e6390438e5da148e8f5	msceleb	MsCeleb	MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition	[pdf]	Unknown	company	Microsoft	United States	47.64233180	-122.13693020	79%	180	143	37	8	120	59
98bb029afe2a1239c3fdab517323066f0957b81b	sdu_vid	SDU-VID	Person Re-identification by Video Ranking	[pdf]	Unknown						68%	209	143	66	8	111	97
7808937b46acad36e43c30ae4e9f3fd57462853d	bpad	BPAD	Describing people: A poselet-based approach to attribute classification	[pdf]	2011 International Conference on Computer Vision						61%	230	141	89	14	163	66
46a01565e6afe7c074affb752e7069ee3bf2e4ef	sdu_vid	SDU-VID	Local Descriptors Encoded by Fisher Vectors for Person Re-identification	[pdf]	Unknown						67%	197	132	65	15	108	88
0c91808994a250d7be332400a534a9291ca3b60e	graz	Graz Pedestrian	Weak Hypotheses and Boosting for Generic Object Detection and Recognition	[pdf]	Unknown						56%	236	131	105	17	161	77
4e4746094bf60ee83e40d8597a6191e463b57f76	leeds_sports_pose_extended	Leeds Sports Pose Extended	Learning effective human pose estimation from inaccurate annotation	[pdf]	CVPR 2011	edu	University of Leeds	United Kingdom	53.80387185	-1.55245712	76%	169	128	41	6	108	65
35b0331dfcd2897abd5749b49ff5e2b8ba0f7a62	coco_qa	COCO QA	Exploring Models and Data for Image Question Answering	[pdf]	Unknown						61%	206	126	80	11	162	39
570f37ed63142312e6ccdf00ecc376341ec72b9f	stanford_drone	Stanford Drone	Social LSTM: Human Trajectory Prediction in Crowded Spaces	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						56%	224	125	99	3	140	81
52d7eb0fbc3522434c13cc247549f74bb9609c5d	wider_face	WIDER FACE	WIDER FACE: A Face Detection Benchmark	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)	edu	Chinese University of Hong Kong	China	22.41626320	114.21093180	67%	178	120	58	11	112	66
b1f4423c227fa37b9680787be38857069247a307	afew_va	AFEW-VA	Collecting Large, Richly Annotated Facial-Expression Databases from Movies	[pdf]	IEEE MultiMedia	edu	Australian National University	Australia	-35.27769990	149.11852700	64%	181	116	65	8	87	97
22ad2c8c0f4d6aa4328b38d894b814ec22579761	gallagher	Gallagher	Clothing cosegmentation for recognizing people	[pdf]	2008 IEEE Conference on Computer Vision and Pattern Recognition	edu	Carnegie Mellon University	United States	40.44416190	-79.94272826	65%	178	116	62	7	100	86
c0387e788a52f10bf35d4d50659cfa515d89fbec	mars	MARS	MARS: A Video Benchmark for Large-Scale Person Re-Identification	[pdf]	Unknown						68%	168	115	53	4	97	69
0d3bb75852098b25d90f31d2f48fd0cb4944702b	face_scrub	FaceScrub	A data-driven approach to cleaning large face datasets	[pdf]	2014 IEEE International Conference on Image Processing (ICIP)						83%	138	114	24	0	95	41
18010284894ed0edcca74e5bf768ee2e15ef7841	deep_fashion	DeepFashion	DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						64%	176	113	63	2	113	62
32c801cb7fbeb742edfd94cccfca4934baec71da	ucf_crowd	UCF-CC-50	Multi-source Multi-scale Counting in Extremely Dense Crowd Images	[pdf]	2013 IEEE Conference on Computer Vision and Pattern Recognition						76%	148	113	35	3	80	65
133f01aec1534604d184d56de866a4bd531dac87	lfw	LFW	Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence						61%	183	111	72	12	103	77
0df0d1adea39a5bef318b74faa37de7f3e00b452	mpii_gaze	MPIIGaze	Appearance-based gaze estimation in the wild	[pdf]	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						74%	149	110	39	3	94	54
10195a163ab6348eef37213a46f60a3d87f289c5	imdb_wiki	IMDB-Wiki	Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks	[pdf]	International Journal of Computer Vision	edu	ETH Zurich	Switzerland	47.37631300	8.54766990	73%	145	106	39	9	93	51
56ffa7d906b08d02d6d5a12c7377a57e24ef3391	unbc_shoulder_pain	UNBC-McMaster Pain	Painful data: The UNBC-McMaster shoulder pain expression archive database	[pdf]	Face and Gesture 2011	edu	Carnegie Mellon University	United States	40.44416190	-79.94272826	56%	189	105	84	21	108	78
5a5f0287484f0d480fed1ce585dbf729586f0edc	disfa	DISFA	DISFA: A Spontaneous Facial Action Intensity Database	[pdf]	IEEE Transactions on Affective Computing	edu	University of Denver	United States	39.67665410	-104.96220300	55%	184	102	82	17	96	89
29a705a5fa76641e0d8963f1fdd67ee4c0d92d3d	scface	SCface	SCface – surveillance cameras face database	[pdf]	Multimedia Tools and Applications						57%	179	102	77	15	88	89
1aad2da473888cb7ebc1bfaa15bfa0f1502ce005	jpl_pose	JPL-Interaction dataset	First-Person Activity Recognition: What Are They Doing to Me?	[pdf]	2013 IEEE Conference on Computer Vision and Pattern Recognition						67%	148	99	49	7	105	43
3b5b6d19d4733ab606c39c69a889f9e67967f151	qmul_grid	GRID	Multi-camera activity correlation analysis	[pdf]	2009 IEEE Conference on Computer Vision and Pattern Recognition	edu	Queen Mary University of London	United Kingdom	51.52472720	-0.03931035	69%	142	98	44	7	77	64
ceb2ebef0b41e31c1a21b28c2734123900c005e2	flickr_faces	FFHQ	A Style-Based Generator Architecture for Generative Adversarial Networks	[pdf]	ArXiv						63%	156	98	56	3	142	10
8355d095d3534ef511a9af68a3b2893339e3f96b	imdb_wiki	IMDB-Wiki	DEX: Deep EXpectation of Apparent Age from a Single Image	[pdf]	2015 IEEE International Conference on Computer Vision Workshop (ICCVW)						79%	122	96	26	4	75	48
4f93cd09785c6e77bf4bc5a788e079df524c8d21	soton	SOTON HiD	On a Large Sequence-Based Human Gait Database	[pdf]	Unknown						63%	150	95	55	17	103	51
e4754afaa15b1b53e70743880484b8d0736990ff	fiw_300	300-W	300 Faces In-The-Wild Challenge: database and results	[pdf]	Image Vision Comput.	edu	Imperial College London	United Kingdom	51.49887085	-0.17560797	73%	129	94	35	6	74	55
8b56e33f33e582f3e473dba573a16b598ed9bcdc	fei	FEI	A new ranking method for principal components analysis and its application to face image analysis	[pdf]	Image Vision Comput.						55%	169	93	76	6	69	102
066000d44d6691d27202896691f08b27117918b9	psu	PSU	Vision-Based Analysis of Small Groups in Pedestrian Crowds	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence						54%	168	91	77	10	85	79
2d3482dcff69c7417c7b933f22de606a0e8e42d4	lfw	LFW	Labeled Faces in the Wild : Updates and New Reporting Procedures	[pdf]	Unknown	edu	University of Massachusetts	United States	42.38897850	-72.52869870	69%	123	85	38	3	71	51
0486214fb58ee9a04edfe7d6a74c6d0f661a7668	chokepoint	ChokePoint	Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition	[pdf]	CVPR 2011 WORKSHOPS						61%	138	84	54	6	76	63
5a4df9bef1872865f0b619ac3aacc97f49e4a035	cuhk_train_station	CUHK Train Station Dataset	Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents	[pdf]	2012 IEEE Conference on Computer Vision and Pattern Recognition	edu	Chinese University of Hong Kong	China	22.41626320	114.21093180	60%	141	84	57	4	60	75
2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e	3dpes	3DPeS	3DPeS: 3D people dataset for surveillance and forensics	[pdf]	Unknown						62%	133	82	51	9	73	58
b91f54e1581fbbf60392364323d00a0cd43e493c	bp4d_spontanous	BP4D-Spontanous	A high-resolution spontaneous 3D dynamic facial expression database	[pdf]	2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)	edu	SUNY Binghamton	United States	42.08779975	-75.97066066	53%	154	82	72	6	80	75
a0fd85b3400c7b3e11122f44dc5870ae2de9009a	mafl	MAFL	Learning Deep Representation for Face Alignment with Auxiliary Attributes	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence	edu	University of Hong Kong	China	22.20814690	114.25964115	73%	108	79	29	7	66	44
a0fd85b3400c7b3e11122f44dc5870ae2de9009a	mtfl	MTFL	Learning Deep Representation for Face Alignment with Auxiliary Attributes	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence	edu	University of Hong Kong	China	22.20814690	114.25964115	73%	108	79	29	7	66	44
7f23a4bb0c777dd72cca7665a5f370ac7980217e	duke_mtmc	Duke MTMC	Improving Person Re-identification by Attribute and Identity Learning	[pdf]	CoRR						85%	87	74	13	0	43	42
7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22	lfw	LFW	Labeled Faces in the Wild: A Survey	[pdf]	Unknown	edu	Stevens Institute of Technology	United States	40.74225200	-74.02709490	64%	109	70	39	7	66	43
66e6f08873325d37e0ec20a4769ce881e04e964e	sun_attributes	SUN	The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding	[pdf]	International Journal of Computer Vision						60%	116	70	46	14	84	31
2a4bbee0b4cf52d5aadbbc662164f7efba89566c	peta	PETA	Pedestrian Attribute Recognition At Far Distance	[pdf]	Unknown						75%	88	66	22	1	50	36
70c59dc3470ae867016f6ab0e008ac8ba03774a1	vgg_faces2	VGG Face2	VGGFace2: A Dataset for Recognising Faces across Pose and Age	[pdf]	2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)						80%	83	66	17	3	61	20
3394168ff0719b03ff65bcea35336a76b21fe5e4	penn_fudan	Penn Fudan	Object Detection Combining Recognition and Segmentation	[pdf]	Unknown						61%	105	64	41	9	58	43
3b4ec8af470948a72a6ed37a9fd226719a874ebc	sdu_vid	SDU-VID	A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)						66%	95	63	32	6	50	45
04c2cda00e5536f4b1508cbd80041e9552880e67	hipsterwars	Hipsterwars	Hipster Wars: Discovering Elements of Fashion Styles	[pdf]	Unknown						64%	95	61	34	4	59	35
06f02199690961ba52997cde1527e714d2b3bf8f	columbia_gaze	Columbia Gaze	Gaze locking: passive eye contact detection for human-object interaction	[pdf]	Unknown	edu	Columbia University	United States	40.84198360	-73.94368971	76%	79	60	19	0	49	34
4df3143922bcdf7db78eb91e6b5359d6ada004d2	cfd	CFD	The Chicago face database: A free stimulus set of faces and norming data.	[pdf]	Behavior research methods						60%	99	59	40	1	73	21
0c4a139bb87c6743c7905b29a3cfec27a5130652	feret	FERET	The FERET Verification Testing Protocol for Face Recognition Algorithms	[pdf]	Unknown	edu	City University of New York	United States	40.87228250	-73.89489171	51%	115	59	56	8	75	37
08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7	kin_face	UB KinFace	Understanding Kin Relationships in a Photo	[pdf]	IEEE Transactions on Multimedia						63%	94	59	35	1	33	61
0a85bdff552615643dd74646ac881862a7c7072d	pipa	PIPA	Beyond frontal faces: Improving Person Recognition using multiple cues	[pdf]	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)	company	Facebook	United States	37.39367170	-122.08072620	83%	69	57	11	2	49	18
2ce2560cf59db59ce313bbeb004e8ce55c5ce928	texas_3dfrd	Texas 3DFRD	Anthropometric 3D Face Recognition	[pdf]	International Journal of Computer Vision						63%	91	57	34	5	60	31
5194cbd51f9769ab25260446b4fa17204752e799	violent_flows	Violent Flows	Violent flows: Real-time detection of violent crowd behavior	[pdf]	2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops	edu	Open University of Israel	Israel	32.77824165	34.99565673	65%	88	57	31	6	45	44
3cd40bfa1ff193a96bde0207e5140a399476466c	tvhi	TVHI	High Five: Recognising human interactions in TV shows	[pdf]	Unknown						57%	98	56	42	10	66	28
2160788824c4c29ffe213b2cbeb3f52972d73f37	3d_rma	3D-RMA	Automatic 3D face authentication	[pdf]	Image Vision Comput.						54%	100	54	46	8	63	36
ae0aee03d946efffdc7af2362a42d3750e7dd48a	put_face	Put Face	The put face database	[pdf]	Unknown						55%	99	54	45	5	55	48
2edb87494278ad11641b6cf7a3f8996de12b8e14	qmul_grid	GRID	Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding	[pdf]	International Journal of Computer Vision	edu	Queen Mary University of London	United Kingdom	51.52472720	-0.03931035	63%	84	53	31	4	51	33
0dc11a37cadda92886c56a6fb5191ded62099c28	stickmen_family	We Are Family Stickmen	We Are Family: Joint Pose Estimation of Multiple Persons	[pdf]	Unknown						68%	78	53	25	4	54	23
0b84f07af44f964817675ad961def8a51406dd2e	prw	PRW	Person Re-identification in the Wild	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						68%	77	52	25	1	47	27
0b440695c822a8e35184fb2f60dcdaa8a6de84ae	kinectface	KinectFaceDB	KinectFaceDB: A Kinect Database for Face Recognition	[pdf]	IEEE Transactions on Systems, Man, and Cybernetics: Systems	edu	University of North Carolina at Chapel Hill	United States	35.91139710	-79.05045290	61%	82	50	32	6	28	52
1bd1645a629f1b612960ab9bba276afd4cf7c666	brainwash	Brainwash	End-to-End People Detection in Crowded Scenes	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)	edu	Stanford University	United States	37.43131385	-122.16936535	69%	67	46	20	2	42	23
c900e0ad4c95948baaf0acd8449fde26f9b4952a	emotio_net	EmotioNet Database	EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						53%	86	46	40	7	54	29
f1af714b92372c8e606485a3982eab2f16772ad8	mug_faces	MUG Faces	The MUG facial expression database	[pdf]	11th International Workshop on Image Analysis for Multimedia Interactive Services WIAMIS 10	edu	Aristotle University of Thessaloniki	Greece	40.62984145	22.95889350	55%	82	45	37	4	34	47
6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c	afad	AFAD	Ordinal Regression with Multiple Output CNN for Age Estimation	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						56%	78	44	34	8	44	31
636b8ffc09b1b23ff714ac8350bb35635e49fa3c	caltech_10k_web_faces	Caltech 10K Web Faces	Pruning training sets for learning of object categories	[pdf]	2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)						70%	63	44	19	4	42	20
2bf8541199728262f78d4dced6fb91479b39b738	clothing_co_parsing	CCP	Clothing Co-parsing by Joint Image Segmentation and Labeling	[pdf]	2014 IEEE Conference on Computer Vision and Pattern Recognition						70%	60	42	18	0	34	28
f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44	pa_100k	PA-100K	HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis	[pdf]	2017 IEEE International Conference on Computer Vision (ICCV)						76%	55	42	13	0	36	17
4793f11fbca4a7dba898b9fff68f70d868e2497c	kin_face	UB KinFace	Kinship Verification through Transfer Learning	[pdf]	Unknown						58%	71	41	30	2	29	42
15af83373274f4b4c5976c5f384ea0a5c124b287	megaface	MegaFace	Level Playing Field for Million Scale Face Recognition	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						64%	64	41	23	5	44	19
15af83373274f4b4c5976c5f384ea0a5c124b287	megaface	MegaFace	Level Playing Field for Million Scale Face Recognition	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						64%	64	41	23	5	44	19
faf40ce28857aedf183e193486f5b4b0a8c478a2	iit_dehli_ear	IIT Dehli Ear	Automated Human Identification Using Ear Imaging	[pdf]	Unknown						50%	80	40	40	6	35	44
4d58f886f5150b2d5e48fd1b5a49e09799bf895d	texas_3dfrd	Texas 3DFRD	Texas 3D Face Recognition Database	[pdf]	2010 IEEE Southwest Symposium on Image Analysis & Interpretation (SSIAI)						61%	66	40	26	3	40	27
31de9b3dd6106ce6eec9a35991b2b9083395fd0b	feret	FERET	FERET ( Face Recognition Technology ) Recognition Algorithm Development and Test Results	[pdf]	Unknown						52%	75	39	36	5	54	20
47aeb3b82f54b5ae8142b4bdda7b614433e69b9a	am_fed	AM-FED	Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected "In-the-Wild"	[pdf]	2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops						46%	83	38	45	6	43	39
22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2b	saivt	SAIVT SoftBio	A Database for Person Re-Identification in Multi-Camera Surveillance Networks	[pdf]	2012 International Conference on Digital Image Computing Techniques and Applications (DICTA)						58%	65	38	27	6	45	20
79828e6e9f137a583082b8b5a9dfce0c301989b8	mapillary	Mapillary	The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes	[pdf]	2017 IEEE International Conference on Computer Vision (ICCV)						61%	61	37	24	0	43	16
3dc3f0b64ef80f573e3a5f96e456e52ee980b877	georgia_tech_face_database	Georgia Tech Face	Maximum Likelihood Training of the Embedded HMM for Face Detection and Recognition	[pdf]	Unknown						54%	67	36	31	4	29	28
6f3c76b7c0bd8e1d122c6ea808a271fd4749c951	ward	WARD	Re-identify people in wide area camera network	[pdf]	2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops	edu	University of Udine	Italy	46.08107230	13.21194740	60%	60	36	24	1	38	21
fcc6fe6007c322641796cb8792718641856a22a7	miw	MIW	Automatic facial makeup detection with application in face recognition	[pdf]	2013 International Conference on Biometrics (ICB)	edu	West Virginia University	United States	39.65404635	-79.96475355	71%	49	35	14	1	19	29
09d78009687bec46e70efcf39d4612822e61cb8c	raid	43	Consistent Re-identification in a Camera Network	[pdf]	Unknown						71%	49	35	14	3	34	13
fcc6fe6007c322641796cb8792718641856a22a7	youtube_makeup	YMU	Automatic facial makeup detection with application in face recognition	[pdf]	2013 International Conference on Biometrics (ICB)	edu	West Virginia University	United States	39.65404635	-79.96475355	71%	49	35	14	1	19	29
51eba481dac6b229a7490f650dff7b17ce05df73	imsitu	imSitu	Situation Recognition: Visual Semantic Role Labeling for Image Understanding	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						65%	52	34	18	1	46	6
9c23859ec7313f2e756a3e85575735e0c52249f4	facebook_100	Facebook100	Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook	[pdf]	CVPR 2011 WORKSHOPS	edu	Harvard University	United States	42.36782045	-71.12666653	63%	52	33	19	2	38	13
8be57cdad86fdf8c8290df4ca3149592f3c46dd3	m2vts	m2vts	The M2VTS Multimodal Face Database (Release 1.00)	[pdf]	Unknown						45%	73	33	40	2	39	33
9c23859ec7313f2e756a3e85575735e0c52249f4	pubfig_83	pubfig83	Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook	[pdf]	CVPR 2011 WORKSHOPS	edu	Harvard University	United States	42.36782045	-71.12666653	63%	52	33	19	2	38	13
31b05f65405534a696a847dd19c621b7b8588263	umd_faces	UMD	UMDFaces: An annotated face dataset for training deep networks	[pdf]	2017 IEEE International Joint Conference on Biometrics (IJCB)	edu	University of Maryland	United States	39.28996850	-76.62196103	79%	42	33	9	2	30	11
37d6f0eb074d207b53885bd2eb78ccc8a04be597	vmu	VMU	Can facial cosmetics affect the matching accuracy of face recognition systems?	[pdf]	2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)	edu	West Virginia University	United States	39.65404635	-79.96475355	62%	53	33	20	0	19	31
37d6f0eb074d207b53885bd2eb78ccc8a04be597	youtube_makeup	YMU	Can facial cosmetics affect the matching accuracy of face recognition systems?	[pdf]	2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)	edu	West Virginia University	United States	39.65404635	-79.96475355	62%	53	33	20	0	19	31
2161f6b7ee3c0acc81603b01dc0df689683577b9	large_scale_person_search	Large Scale Person Search	End-to-End Deep Learning for Person Search	[pdf]	CoRR						70%	46	32	14	0	27	16
18858cc936947fc96b5c06bbe3c6c2faa5614540	pilot_parliament	PPB	Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification	[pdf]	Unknown						53%	59	31	28	0	47	10
16e8b0a1e8451d5f697b94c0c2b32a00abee1d52	umb	UMB	UMB-DB: A database of partially occluded 3D faces	[pdf]	2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)						66%	47	31	16	2	22	24
356b431d4f7a2a0a38cf971c84568207dcdbf189	wider	WIDER	Recognize complex events from static images by fusing deep channels	[pdf]	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						70%	44	31	13	1	29	15
8b2dd5c61b23ead5ae5508bb8ce808b5ea266730	10k_US_adult_faces	10K US Adult Faces	The intrinsic memorability of face photographs.	[pdf]	Journal of experimental psychology. General						56%	52	29	23	2	36	14
070de852bc6eb275d7ca3a9cdde8f6be8795d1a3	d3dfacs	D3DFACS	A FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling	[pdf]	2011 International Conference on Computer Vision						52%	50	26	24	5	31	18
47662d1a368daf70ba70ef2d59eb6209f98b675d	fia	CMU FiA	The CMU Face In Action (FIA) Database	[pdf]	Unknown						48%	54	26	28	5	40	16
298cbc3dfbbb3a20af4eed97906650a4ea1c29e0	ferplus	FER+	Training deep networks for facial expression recognition with crowd-sourced label distribution	[pdf]	Unknown						74%	34	25	9	0	18	16
e27ef52c641c2b5100a1b34fd0b819e84a31b4df	sarc3d	Sarc3D	SARC3D: A New 3D Body Model for People Tracking and Re-identification	[pdf]	Unknown						74%	34	25	9	2	21	12
57fe081950f21ca03b5b375ae3e84b399c015861	cvc_01_barcelona	CVC-01	Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection	[pdf]	Unknown						51%	47	24	23	1	23	24
8875ae233bc074f5cd6c4ebba447b536a7e847a5	voxceleb2	VoxCeleb2	VoxCeleb2: Deep Speaker Recognition.	[pdf]	Unknown						71%	34	24	9	2	31	2
1c2802c2199b6d15ecefe7ba0c39bfe44363de38	youtube_poses	YouTube Pose	Personalizing Human Video Pose Estimation	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)	edu	Oxford University	United Kingdom	51.75208490	-1.25166460	67%	36	24	12	1	30	8
758d7e1be64cc668c59ef33ba8882c8597406e53	affectnet	AffectNet	AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild	[pdf]	CoRR						62%	37	23	14	0	25	11
d08cc366a4a0192a01e9a7495af1eb5d9f9e73ae	b3d_ac	B3D(AC)	A 3-D Audio-Visual Corpus of Affective Communication	[pdf]	IEEE Transactions on Multimedia						55%	42	23	19	2	26	15
53ae38a6bb2b21b42bac4f0c4c8ed1f9fa02f9d4	bp4d_plus	BP4D+	Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						55%	42	23	19	0	17	26
0cb2dd5f178e3a297a0c33068961018659d0f443	ijb_b	IJB-B	IARPA Janus Benchmark-B Face Dataset	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)	edu	Michigan State University	United States	42.71856800	-84.47791571	63%	35	22	13	3	25	8
41976ebc8ab76d9a6861487c97cc7fcbe3b6015f	moments_in_time	Moments in Time	Moments in Time Dataset: one million videos for event understanding	[pdf]	CoRR	edu	Columbia University	United States	40.84198360	-73.94368971	76%	29	22	7	2	27	2
a0cc5f73a37723a6dd465924143f1cb4976d0169	msmt_17	MSMT17	Person Transfer GAN to Bridge Domain Gap for Person Re-identification	[pdf]	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition						92%	24	22	2	1	20	4
fd8168f1c50de85bac58a8d328df0a50248b16ae	nd_2006	ND-2006	Using a Multi-Instance Enrollment Representation to Improve 3D Face Recognition	[pdf]	2007 First IEEE International Conference on Biometrics: Theory, Applications, and Systems	edu	University of Notre Dame	United States	41.70456775	-86.23822026	63%	35	22	13	3	18	15
0ceda9dae8b9f322df65ca2ef02caca9758aec6f	casablanca	Casablanca	Context-Aware CNNs for Person Head Detection	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)						64%	33	21	12	1	23	11
0ceda9dae8b9f322df65ca2ef02caca9758aec6f	hollywood_headset	HollywoodHeads	Context-Aware CNNs for Person Head Detection	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)						64%	33	21	12	1	23	11
488e475eeb3bb39a145f23ede197cd3620f1d98a	apis	APiS1.0	Pedestrian Attribute Classification in Surveillance: Database and Evaluation	[pdf]	2013 IEEE International Conference on Computer Vision Workshops						71%	28	20	8	0	13	15
84fe5b4ac805af63206012d29523a1e033bc827e	awe_ears	AWE Ears	Ear Recognition: More Than a Survey	[pdf]	Neurocomputing						77%	26	20	6	0	10	16
20388099cc415c772926e47bcbbe554e133343d1	cafe	#N/A	The Child Affective Facial Expression (CAFE) set: validity and reliability from untrained adults	[pdf]							54%	37	20	17	3	30	7
4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7	deep_fashion	DeepFashion	Fashion Landmark Detection in the Wild	[pdf]	Unknown						77%	26	20	6	1	16	10
0297448f3ed948e136bb06ceff10eccb34e5bb77	ilids_mcts	i-LIDS Multiple-Camera	Imagery Library for Intelligent Detection Systems (i-LIDS); A Standard for Testing Video Based Detection Systems	[pdf]	Proceedings 40th Annual 2006 International Carnahan Conference on Security Technology						57%	35	20	15	2	21	14
488e475eeb3bb39a145f23ede197cd3620f1d98a	svs	SVS	Pedestrian Attribute Classification in Surveillance: Database and Evaluation	[pdf]	2013 IEEE International Conference on Computer Vision Workshops						71%	28	20	8	0	13	15
213a579af9e4f57f071b884aa872651372b661fd	bbc_pose	BBC Pose	Automatic and Efficient Human Pose Estimation for Sign Language Videos	[pdf]	International Journal of Computer Vision						69%	26	18	8	0	16	11
64e0690dd176a93de9d4328f6e31fc4afe1e7536	duke_mtmc	Duke MTMC	Tracking Multiple People Online and in Real Time	[pdf]	Unknown						78%	23	18	5	1	12	10
221c18238b829c12b911706947ab38fd017acef7	rap_pedestrian	RAP	A Richly Annotated Dataset for Pedestrian Attribute Recognition	[pdf]	CoRR						69%	26	18	8	0	16	10
d818568838433a6d6831adde49a58cef05e0c89f	agedb	AgeDB	AgeDB: The First Manually Collected, In-the-Wild Age Database	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)	edu	Imperial College London	United Kingdom	51.49887085	-0.17560797	94%	18	17	1	0	14	3
4946ba10a4d5a7d0a38372f23e6622bd347ae273	coco_action	COCO-a	Describing Common Human Visual Actions in Images	[pdf]	Unknown						68%	25	17	8	0	23	2
d178cde92ab3dc0dd2ebee5a76a33d556c39448b	jiku_mobile	Jiku Mobile Video Dataset	The jiku mobile video dataset	[pdf]	Unknown	edu	National University of Singapore	Singapore	1.29620180	103.77689944	71%	24	17	7	0	6	19
2eb84aaba316b095d4bb51da1a3e4365bbf9ab1d	kin_face	UB KinFace	Genealogical face recognition based on UB KinFace database	[pdf]	CVPR 2011 WORKSHOPS	edu	SUNY Buffalo	United States	42.93362780	-78.88394479	55%	31	17	14	0	11	21
ea050801199f98a1c7c1df6769f23f658299a3ae	mpi_large	Large MPI Facial Expression	The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions	[pdf]							52%	33	17	16	4	29	4
ea050801199f98a1c7c1df6769f23f658299a3ae	mpi_small	Small MPI Facial Expression	The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions	[pdf]							52%	33	17	16	4	29	4
1e3df3ca8feab0b36fd293fe689f93bb2aaac591	immediacy	Immediacy	Multi-task Recurrent Neural Network for Immediacy Prediction	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)						62%	26	16	10	2	21	6
71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6	umd_faces	UMD	The Do’s and Don’ts for CNN-Based Face Verification	[pdf]	2017 IEEE International Conference on Computer Vision Workshops (ICCVW)						62%	26	16	10	2	16	8
19d1b811df60f86cbd5e04a094b07f32fff7a32a	york_3d	UOY 3D Face Database	Three-dimensional face recognition: an eigensurface approach	[pdf]	2004 International Conference on Image Processing, 2004. ICIP '04.						42%	38	16	22	4	24	13
b6c293f0420f7e945b5916ae44269fb53e139275	erce	ERCe	Video Synopsis by Heterogeneous Multi-source Correlation	[pdf]	2013 IEEE International Conference on Computer Vision						52%	29	15	14	2	14	13
b6c293f0420f7e945b5916ae44269fb53e139275	tisi	Times Square Intersection	Video Synopsis by Heterogeneous Multi-source Correlation	[pdf]	2013 IEEE International Conference on Computer Vision						52%	29	15	14	2	14	13
2a171f8d14b6b8735001a11c217af9587d095848	social_relation	Social Relation	Learning Social Relation Traits from Face Images	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)						61%	23	14	9	4	16	7
5753b2b5e442eaa3be066daa4a2ca8d8a0bb1725	fpoq	50 People One Question	Merging Pose Estimates Across Space and Time	[pdf]	Unknown						81%	16	13	3	0	13	4
44d23df380af207f5ac5b41459c722c87283e1eb	wider_attribute	WIDER Attribute	Human Attribute Recognition by Deep Hierarchical Contexts	[pdf]	Unknown						72%	18	13	5	0	14	4
45e616093a92e5f1e61a7c6037d5f637aa8964af	malf	MALF	Fine-grained evaluation on face detection in the wild	[pdf]	2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)						71%	17	12	5	0	12	5
774cbb45968607a027ae4729077734db000a1ec5	urban_tribes	Urban Tribes	From Bikers to Surfers: Visual Recognition of Urban Tribes	[pdf]	Unknown						67%	18	12	6	1	12	6
a94cae786d515d3450d48267e12ca954aab791c4	yawdd	YawDD	YawDD: a yawning detection dataset	[pdf]	Unknown						80%	15	12	3	1	2	13
4e6ee936eb50dd032f7138702fa39b7c18ee8907	dartmouth_children	Dartmouth Children	The Dartmouth Database of Children’s Faces: Acquisition and Validation of a New Face Stimulus Set	[pdf]							52%	21	11	10	2	18	3
4156b7e88f2e0ab0a7c095b9bab199ae2b23bd06	distance_nighttime	Long Distance Heterogeneous Face	Nighttime Face Recognition at Long Distance: Cross-Distance and Cross-Spectral Matching	[pdf]	Unknown						50%	22	11	11	3	11	10
25474c21613607f6bb7687a281d5f9d4ffa1f9f3	faceplace	Face Place	Recognizing disguised faces	[pdf]	Unknown						38%	29	11	18	0	18	10
b71d1aa90dcbe3638888725314c0d56640c1fef1	ifdb	IFDB	Iranian Face Database with age, pose and expression	[pdf]	2007 International Conference on Machine Vision	edu	Islamic Azad University	Iran	34.84529990	48.55962120	48%	23	11	12	2	14	9
57178b36c21fd7f4529ac6748614bb3374714e91	ijb_c	IJB-C	IARPA Janus Benchmark - C: Face Dataset and Protocol	[pdf]	2018 International Conference on Biometrics (ICB)						79%	14	11	3	0	12	1
ca3e88d87e1344d076c964ea89d91a75c417f5ee	imfdb	IMFDB	Indian Movie Face Database: A benchmark for face recognition under wide variations	[pdf]	2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)	edu	BVBCET, Hubli, India	India	15.36883320	75.12137960	65%	17	11	6	0	11	5
4563b46d42079242f06567b3f2e2f7a80cb3befe	vadana	VADANA	VADANA: A dense dataset for facial image analysis	[pdf]	2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)	edu	University of Delaware	United States	39.68103280	-75.75401840	73%	15	11	4	0	5	10
6403117f9c005ae81f1e8e6d1302f4a045e3d99d	alert_airport	ALERT Airport	A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence						50%	20	10	10	0	9	11
0f0fcf041559703998abf310e56f8a2f90ee6f21	feret	FERET	The FERET Evaluation Methodology for Face-Recognition Algorithms	[pdf]	Unknown						34%	29	10	19	3	18	9
2f43b614607163abf41dfe5d17ef6749a1b61304	hrt_transgender	HRT Transgender	Investigating the Periocular-Based Face Recognition Across Gender Transformation	[pdf]	IEEE Transactions on Information Forensics and Security	edu	University of North Carolina at Wilmington	United States	34.22498270	-77.86907744	77%	13	10	3	0	6	8
2624d84503bc2f8e190e061c5480b6aa4d89277a	afew_va	AFEW-VA	AFEW-VA database for valence and arousal estimation in-the-wild	[pdf]	Image Vision Comput.						50%	18	9	9	0	12	5
8d5998cd984e7cce307da7d46f155f9db99c6590	chalearn	ChaLearn	ChaLearn looking at people: A review of events and resources	[pdf]	2017 International Joint Conference on Neural Networks (IJCNN)						69%	13	9	4	1	8	4
a8d0b149c2eadaa02204d3e4356fbc8eccf3b315	hi4d_adsip	Hi4D-ADSIP	Hi4D-ADSIP 3-D dynamic facial articulation database	[pdf]	Image Vision Comput.						60%	15	9	6	1	4	11
bd26dabab576adb6af30484183c9c9c8379bf2e0	scut_fbp	SCUT-FBP	SCUT-FBP: A Benchmark Dataset for Facial Beauty Perception	[pdf]	2015 IEEE International Conference on Systems, Man, and Cybernetics						47%	19	9	10	2	6	13
060820f110a72cbf02c14a6d1085bd6e1d994f6a	caltech_crp	Caltech CRP	Fine-grained classification of pedestrians in video: Benchmark and state of the art	[pdf]	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)	edu	California Institute of Technology	United States	34.13710185	-118.12527487	47%	17	8	9	0	9	8
2b926b3586399d028b46315d7d9fb9d879e4f79c	frav3d	FRAV3D	Multimodal 2D, 2.5D & 3D Face Verification	[pdf]	2006 International Conference on Image Processing	edu	Universidad Rey Juan Carlos, Spain	Spain	40.33586610	-3.87694320	57%	14	8	6	0	2	12
8f02ec0be21461fbcedf51d864f944cfc42c875f	hda_plus	HDA+	The HDA+ Data Set for Research on Fully Automated Re-identification Systems	[pdf]	Unknown						50%	16	8	8	1	10	6
c570d1247e337f91e555c3be0e8c8a5aba539d9f	mcgill	McGill Real World	Robust semi-automatic head pose labeling for real-world face video sequences	[pdf]	Multimedia Tools and Applications	edu	McGill University	Canada	45.50397610	-73.57496870	44%	18	8	10	0	13	7
041d3eedf5e45ce5c5229f0181c5c576ed1fafd6	ucf_selfie	UCF Selfie	How to Take a Good Selfie?	[pdf]	Unknown						73%	11	8	3	0	7	5
633c851ebf625ad7abdda2324e9de093cf623141	appa_real	APPA-REAL	Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database	[pdf]	2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)						70%	10	7	3	0	8	3
2cd7821fcf5fae53a185624f7eeda007434ae037	geofaces	GeoFaces	Exploring the geo-dependence of human face appearance	[pdf]	IEEE Winter Conference on Applications of Computer Vision						88%	8	7	1	0	5	3
2cd7821fcf5fae53a185624f7eeda007434ae037	geofaces	GeoFaces	Exploring the geo-dependence of human face appearance	[pdf]	IEEE Winter Conference on Applications of Computer Vision						88%	8	7	1	0	5	3
7f4040b482d16354d5938c1d1b926b544652bf5b	nova_emotions	Novaemötions Dataset	Competitive affective gaming: winning with a smile	[pdf]	Unknown	edu	Universidade NOVA de Lisboa, Caparica, Portugal	Portugal	38.66096400	-9.20581300	78%	9	7	2	0	5	4
4b4106614c1d553365bad75d7866bff0de6056ed	ufi	UFI	Unconstrained Facial Images: Database for Face Recognition Under Real-World Conditions	[pdf]	Unknown						50%	12	6	6	0	4	6
22f656d0f8426c84a33a267977f511f127bfd7f3	expw	ExpW	From Facial Expression Recognition to Interpersonal Relation Prediction	[pdf]	International Journal of Computer Vision						55%	11	6	5	0	5	4
4af89578ac237278be310f7660a408b03f12d603	geofaces	GeoFaces	Large-scale geo-facial image analysis	[pdf]	EURASIP J. Image and Video Processing						100%	6	6	0	0	4	2
2d45cfd838016a6e39f6b766ffe85acd649440c7	mcgill	McGill Real World	Hierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos	[pdf]	Computer Vision and Image Understanding						75%	8	6	2	0	5	3
8fee9b8c44626c4ac6b96ef183394bc4f36dc95f	megaage	MegaAge	Quantifying Facial Age by Posterior of Age Comparisons	[pdf]	CoRR						50%	12	6	6	0	7	3
9e5378e7b336c89735d3bb15cf67eff96f86d39a	precarious	Precarious	Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						43%	14	6	8	0	12	1
1a40092b493c6b8840257ab7f96051d1a4dbfeb2	sports_videos_in_the_wild	SVW	Sports Videos in the Wild (SVW): A video dataset for sports analysis	[pdf]	2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)						86%	7	6	1	1	5	2
8627f019882b024aef92e4eb9355c499c733e5b7	used	USED Social Event Dataset	USED: a large-scale social event detection dataset	[pdf]	Unknown	edu	University of Trento	Italy	46.06588360	11.11598940	86%	7	6	1	0	3	4
0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e	lag	LAG	Large age-gap face verification by feature injection in deep networks	[pdf]	Pattern Recognition Letters						71%	7	5	2	0	3	4
07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1	uccs	UCCS	Large scale unconstrained open set face database	[pdf]	2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)	company	Securics Inc., Colorado Springs, CO	United States	38.83388160	-104.82136340	83%	6	5	1	0	4	2
d4f1eb008eb80595bcfdac368e23ae9754e1e745	uccs	UCCS	Unconstrained Face Detection and Open-Set Face Recognition Challenge	[pdf]	2017 IEEE International Joint Conference on Biometrics (IJCB)						100%	5	5	0	0	4	1
922e0a51a3b8c67c4c6ac09a577ff674cbd28b34	v47	V47	Re-identification of pedestrians with variable occlusion and scale	[pdf]	2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)	edu	Kingston University	United Kingdom	51.42930860	-0.26840440	56%	9	5	4	1	5	4
7ebb153704706e457ab57b432793d2b6e5d12592	vgg_celebs_in_places	CIP	Faces in Places: compound query retrieval	[pdf]	Unknown						100%	5	5	0	0	3	2
56ae6d94fc6097ec4ca861f0daa87941d1c10b70	cmdp	CMDP	Distance Estimation of an Unknown Person from a Portrait	[pdf]	Unknown						44%	9	4	5	0	6	3
563c940054e4b456661762c1ab858e6f730c3159	data_61	Data61 Pedestrian	A Multi-modal Graphical Model for Scene Analysis	[pdf]	2015 IEEE Winter Conference on Applications of Computer Vision						50%	8	4	4	0	5	3
287ddcb3db5562235d83aee318f318b8d5e43fb1	erce	ERCe	Learning from Multiple Sources for Video Summarisation	[pdf]	International Journal of Computer Vision						57%	7	4	3	0	4	3
dd65f71dac86e36eecbd3ed225d016c3336b4a13	families_in_the_wild	FIW	Visual Kinship Recognition of Families in the Wild	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence	edu	University of Massachusetts Dartmouth	United States	41.62772475	-71.00724501	80%	5	4	1	0	2	3
137aa2f891d474fce1e7a1d1e9b3aefe21e22b34	hrt_transgender	HRT Transgender	Is the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset	[pdf]	2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)						57%	7	4	3	1	3	5
9cc8cf0c7d7fa7607659921b6ff657e17e135ecc	mafa	MAsked FAces	Detecting Masked Faces in the Wild with LLE-CNNs	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						80%	5	4	1	0	4	1
23e824d1dfc33f3780dd18076284f07bd99f1c43	mifs	MIFS	Spoofing faces using makeup: An investigative study	[pdf]	2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)	edu	INRIA Méditerranée	France	43.61581310	7.06838000	67%	6	4	2	0	1	5
22909dd19a0ec3b6065334cb5be5392cb24d839d	pets	PETS 2017	PETS 2017: Dataset and Challenge	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)						44%	9	4	5	0	1	8
54983972aafc8e149259d913524581357b0f91c3	reseed	ReSEED	ReSEED: social event dEtection dataset	[pdf]	Unknown						67%	6	4	2	1	1	5
287ddcb3db5562235d83aee318f318b8d5e43fb1	tisi	Times Square Intersection	Learning from Multiple Sources for Video Summarisation	[pdf]	International Journal of Computer Vision						57%	7	4	3	0	4	3
9e31e77f9543ab42474ba4e9330676e18c242e72	imdb_face	IMDb Face	The Devil of Face Recognition is in the Noise	[pdf]	Unknown	edu	Nanyang Technological University	Singapore	1.34841040	103.68297965	50%	6	3	3	0	4	1
a7fe834a0af614ce6b50dc093132b031dd9a856b	market_1501	Market 1501	Orientation Driven Bag of Appearances for Person Re-identification	[pdf]	CoRR						43%	7	3	4	0	4	4
578d4ad74818086bb64f182f72e2c8bd31e3d426	mr2	MR2	The MR2: A multi-racial, mega-resolution database of facial stimuli.	[pdf]	Behavior research methods						43%	7	3	4	0	7	0
ad01687649d95cd5b56d7399a9603c4b8e2217d7	mrp_drone	MRP Drone	Investigating Open-World Person Re-identification Using a Drone	[pdf]	Unknown						43%	7	3	4	1	5	2
a7fe834a0af614ce6b50dc093132b031dd9a856b	pku_reid	PKU-Reid	Orientation Driven Bag of Appearances for Person Re-identification	[pdf]	CoRR						43%	7	3	4	0	4	4
3531332efe19be21e7401ba1f04570a142617236	ufdd	UFDD	Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results	[pdf]	CoRR						75%	4	3	1	0	4	0
17b46e2dad927836c689d6787ddb3387c6159ece	geofaces	GeoFaces	GeoFaceExplorer: exploring the geo-dependence of facial attributes	[pdf]	Unknown						100%	2	2	0	0	1	1
e58dd160a76349d46f881bd6ddbc2921f08d1050	gfw	Grouping Face in the Wild	Merge or Not? Learning to Group Faces via Imitation Learning	[pdf]	Unknown						100%	2	2	0	0	2	0
4eab317b5ac436a949849ed286baa3de2a541eef	laofiw	LAOFIW	Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings	[pdf]	Unknown						100%	2	2	0	0	2	0
f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f	pku_reid	PKU-Reid	Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification	[pdf]	Unknown						50%	4	2	2	0	1	2
4d4bb462c9f1d4e4ab1e4aa6a75cc0bc71b38461	3dddb_unconstrained	3D Dynamic	A 3D Dynamic Database for Unconstrained Face Recognition	[pdf]	Unknown						50%	2	1	1	0	1	1
a40f9bfd3c45658ee8da70e1f2dfbe1f0c744d43	4dfab	4DFAB	4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications	[pdf]	CoRR						25%	4	1	3	0	2	2
65355cbb581a219bd7461d48b3afd115263ea760	complex_activities	Ongoing Complex Activities	Recognition of ongoing complex activities by sequence prediction over a hierarchical label space	[pdf]	2016 IEEE Winter Conference on Applications of Computer Vision (WACV)						33%	3	1	2	0	3	0
55c40cbcf49a0225e72d911d762c27bb1c2d14aa	ifad	IFAD	Indian Face Age Database: A Database for Face Recognition with Age Variation	[pdf]	Unknown						50%	2	1	1	0	2	0
c06b13d0ec3f5c43e2782cd22542588e233733c3	nova_emotions	Novaemötions Dataset	Crowdsourcing facial expressions for affective-interaction	[pdf]	Computer Vision and Image Understanding						100%	1	1	0	0	1	0
2306b2a8fba28539306052764a77a0d0f5d1236a	qmul_surv_face	QMUL-SurvFace	Surveillance Face Recognition Challenge	[pdf]	CoRR	edu	Queen Mary University of London	United Kingdom	51.52472720	-0.03931035	100%	1	1	0	0	1	0
d3f5a1848b0028d8ab51d0b0673732cad2e3c8c9	stair_actions	STAIR Action	STAIR Actions: A Video Dataset of Everyday Home Actions	[pdf]	CoRR						100%	1	1	0	0	1	0
5ad4e9f947c1653c247d418f05dad758a3f9277b	wlfdb	WLFDB	WLFDB : Weakly Labeled Face Databases	[pdf]	Unknown						100%	1	1	0	0	0	1
7b92d1e53cc87f7a4256695de590098a2f30261e	appa_real	APPA-REAL	From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation	[pdf]	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)						100%	0	0	0	0	0	0
1dc35905a1deff8bc74688f2d7e2f48fd2273275	caltech_pedestrians	Caltech Pedestrians	Pedestrian detection: A benchmark	[pdf]	2009 IEEE Conference on Computer Vision and Pattern Recognition						100%	0	0	0	0	0	0
15e1af79939dbf90790b03d8aa02477783fb1d0f	duke_mtmc	Duke MTMC	Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro	[pdf]	2017 IEEE International Conference on Computer Vision (ICCV)						100%	0	0	0	0	0	0
72a155c987816ae81c858fddbd6beab656d86220	europersons	EuroCity Persons	The EuroCity Persons Dataset: A Novel Benchmark for Object Detection	[pdf]	CoRR						0%	2	0	2	0	2	0
670637d0303a863c1548d5b19f705860a23e285c	face_tracer	FaceTracer	Face swapping: automatically replacing faces in photographs	[pdf]	Unknown						100%	0	0	0	0	0	0
12ad3b5bbbf407f8e54ea692c07633d1a867c566	graz	Graz Pedestrian	Object recognition using segmentation for feature detection	[pdf]	Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.	edu	Inst. of Comput. Sci., Univ. of Leoben, Austria	Austria	47.38473720	15.09302010	100%	0	0	0	0	0	0
bd88bb2e4f351352d88ee7375af834360e223498	hda_plus	HDA+	HDA dataset-DRAFT 1 A Multi-camera video data set for research on High-Definition surveillance	[pdf]	Unknown						0%	2	0	2	0	1	2
0ab7cff2ccda7269b73ff6efd9d37e1318f7db25	ibm_dif	IBM Diversity in Faces	Facial Coding Scheme Reference 1 Craniofacial Distances	[pdf]	Unknown						100%	0	0	0	0	0	0
066d71fcd997033dce4ca58df924397dfe0b5fd1	ifdb	IFDB	Iranian Face Database and Evaluation with a New Detection Algorithm	[pdf]	Unknown						100%	0	0	0	0	0	0
140438a77a771a8fb656b39a78ff488066eb6b50	lfpw	LFPW	Localizing Parts of Faces Using a Consensus of Exemplars	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence						100%	0	0	0	0	0	0
079a0a3bf5200994e1f972b1b9197bf2f90e87d4	mit_cbcl	MIT CBCL	Component-Based Face Recognition with 3D Morphable Models	[pdf]	2004 Conference on Computer Vision and Pattern Recognition Workshop						100%	0	0	0	0	0	0
2fda164863a06a92d3a910b96eef927269aeb730	names_and_faces	News Dataset	Names and faces in the news	[pdf]	Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.						100%	0	0	0	0	0	0
d3200d49a19a4a4e4e9745ee39649b65d80c834b	scut_head	SCUT HEAD	Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture	[pdf]	2018 24th International Conference on Pattern Recognition (ICPR)						100%	0	0	0	0	0	0
8990cdce3f917dad622e43e033db686b354d057c	tiny_faces	TinyFace	Low-Resolution Face Recognition	[pdf]	CoRR						100%	0	0	0	0	0	0
6ad5a38df8dd4cdddd74f31996ce096d41219f72	tud_brussels	TUD-Brussels	Multi-cue onboard pedestrian detection	[pdf]	2009 IEEE Conference on Computer Vision and Pattern Recognition						100%	0	0	0	0	0	0
6ad5a38df8dd4cdddd74f31996ce096d41219f72	tud_motionpairs	TUD-Motionparis	Multi-cue onboard pedestrian detection	[pdf]	2009 IEEE Conference on Computer Vision and Pattern Recognition						100%	0	0	0	0	0	0
01959ef569f74c286956024866c1d107099199f7	vqa	VQA	VQA: Visual Question Answering	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)						100%	0	0	0	0	0	0
9b9bf5e623cb8af7407d2d2d857bc3f1b531c182	who_goes_there	WGT	Who goes there?: approaches to mapping facial appearance diversity	[pdf]	Unknown	edu	University of Kentucky	United States	38.03337420	-84.50177580	100%	0	0	0	0	0	0
36bccfb2ad847096bc76777e544f305813cd8f5b	wildtrack	WildTrack	WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection	[pdf]	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition						100%	0	0	0	0	0	0

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All Papers

Paper ID	Megapixels Key	Megapixels Name	Report Link	PDF Link	Journal	Type	Address	Country	Lat	Lng	Coverage	Total Citations	Geocoded Citations	Unknown Citations	Empty Citations	With PDF	With DOI
3325860c0c82a93b2eac654f5324dd6a776f609e	mpii_human_pose	MPII Human Pose	2D Human Pose Estimation: New Benchmark and State of the Art Analysis	[pdf]	2014 IEEE Conference on Computer Vision and Pattern Recognition						70%	387	270	117	17	291	96
e4754afaa15b1b53e70743880484b8d0736990ff	fiw_300	300-W	300 Faces In-The-Wild Challenge: database and results	[pdf]	Image Vision Comput.	edu	Imperial College London	United Kingdom	51.49887085	-0.17560797	73%	129	94	35	6	74	55
044d9a8c61383312cdafbcc44b9d00d650b21c70	fiw_300	300-W	300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge	[pdf]	2013 IEEE International Conference on Computer Vision Workshops						81%	323	262	61	15	208	120
2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e	3dpes	3DPeS	3DPeS: 3D people dataset for surveillance and forensics	[pdf]	Unknown						62%	133	82	51	9	73	58
a40f9bfd3c45658ee8da70e1f2dfbe1f0c744d43	4dfab	4DFAB	4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications	[pdf]	CoRR						25%	4	1	3	0	2	2
31b58ced31f22eab10bd3ee2d9174e7c14c27c01	tiny_images	#N/A	80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence						57%	999	574	425	89	644	337
d08cc366a4a0192a01e9a7495af1eb5d9f9e73ae	b3d_ac	B3D(AC)	A 3-D Audio-Visual Corpus of Affective Communication	[pdf]	IEEE Transactions on Multimedia						55%	42	23	19	2	26	15
4d4bb462c9f1d4e4ab1e4aa6a75cc0bc71b38461	3dddb_unconstrained	3D Dynamic	A 3D Dynamic Database for Unconstrained Face Recognition	[pdf]	Unknown						50%	2	1	1	0	1	1
639937b3a1b8bded3f7e9a40e85bd3770016cf3c	bfm	BFM	A 3D Face Model for Pose and Illumination Invariant Face Recognition	[pdf]	2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance						57%	343	195	148	23	223	114
cc589c499dcf323fe4a143bbef0074c3e31f9b60	bu_3dfe	BU-3DFE	A 3D facial expression database for facial behavior research	[pdf]	7th International Conference on Automatic Face and Gesture Recognition (FGR06)						54%	588	316	271	44	306	282
22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2b	saivt	SAIVT SoftBio	A Database for Person Re-Identification in Multi-Camera Surveillance Networks	[pdf]	2012 International Conference on Digital Image Computing Techniques and Applications (DICTA)						58%	65	38	27	6	45	20
070de852bc6eb275d7ca3a9cdde8f6be8795d1a3	d3dfacs	D3DFACS	A FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling	[pdf]	2011 International Conference on Computer Vision						52%	50	26	24	5	31	18
563c940054e4b456661762c1ab858e6f730c3159	data_61	Data61 Pedestrian	A Multi-modal Graphical Model for Scene Analysis	[pdf]	2015 IEEE Winter Conference on Applications of Computer Vision						50%	8	4	4	0	5	3
221c18238b829c12b911706947ab38fd017acef7	rap_pedestrian	RAP	A Richly Annotated Dataset for Pedestrian Attribute Recognition	[pdf]	CoRR						69%	26	18	8	0	16	10
013909077ad843eb6df7a3e8e290cfd5575999d2	fiw_300	300-W	A Semi-automatic Methodology for Facial Landmark Annotation	[pdf]	2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops						82%	184	151	33	8	120	67
3b4ec8af470948a72a6ed37a9fd226719a874ebc	sdu_vid	SDU-VID	A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)						66%	95	63	32	6	50	45
ceb2ebef0b41e31c1a21b28c2734123900c005e2	flickr_faces	FFHQ	A Style-Based Generator Architecture for Generative Adversarial Networks	[pdf]	ArXiv						62%	156	96	58	3	141	10
6403117f9c005ae81f1e8e6d1302f4a045e3d99d	alert_airport	ALERT Airport	A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence						50%	20	10	10	0	9	11
0d3bb75852098b25d90f31d2f48fd0cb4944702b	face_scrub	FaceScrub	A data-driven approach to cleaning large face datasets	[pdf]	2014 IEEE International Conference on Image Processing (ICIP)						83%	138	114	24	0	95	41
b91f54e1581fbbf60392364323d00a0cd43e493c	bp4d_spontanous	BP4D-Spontanous	A high-resolution spontaneous 3D dynamic facial expression database	[pdf]	2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)	edu	SUNY Binghamton	United States	42.08779975	-75.97066066	53%	154	82	72	6	80	75
8b56e33f33e582f3e473dba573a16b598ed9bcdc	fei	FEI	A new ranking method for principal components analysis and its application to face image analysis	[pdf]	Image Vision Comput.						55%	169	93	76	6	69	102
2624d84503bc2f8e190e061c5480b6aa4d89277a	afew_va	AFEW-VA	AFEW-VA database for valence and arousal estimation in-the-wild	[pdf]	Image Vision Comput.						50%	18	9	9	0	12	5
2ad0ee93d029e790ebb50574f403a09854b65b7e	yale_faces	YaleFaces	Acquiring linear subspaces for face recognition under variable lighting	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence						55%	999	554	445	94	495	491
57fe081950f21ca03b5b375ae3e84b399c015861	cvc_01_barcelona	CVC-01	Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection	[pdf]	Unknown						51%	47	24	23	1	23	24
758d7e1be64cc668c59ef33ba8882c8597406e53	affectnet	AffectNet	AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild	[pdf]	CoRR						62%	37	23	14	0	25	11
47aeb3b82f54b5ae8142b4bdda7b614433e69b9a	am_fed	AM-FED	Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected "In-the-Wild"	[pdf]	2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops						46%	83	38	45	6	43	39
1be498d4bbc30c3bfd0029114c784bc2114d67c0	adience	Adience	Age and Gender Estimation of Unfiltered Faces	[pdf]	IEEE Transactions on Information Forensics and Security	edu	Open University of Israel	Israel	32.77824165	34.99565673	72%	237	171	66	3	127	100
d818568838433a6d6831adde49a58cef05e0c89f	agedb	AgeDB	AgeDB: The First Manually Collected, In-the-Wild Age Database	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)	edu	Imperial College London	United Kingdom	51.49887085	-0.17560797	94%	18	17	1	0	14	3
a74251efa970b92925b89eeef50a5e37d9281ad0	aflw	AFLW	Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization	[pdf]	2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)	edu	TU Graz	Austria	47.07071400	15.43950400	70%	318	222	96	27	211	107
2ce2560cf59db59ce313bbeb004e8ce55c5ce928	texas_3dfrd	Texas 3DFRD	Anthropometric 3D Face Recognition	[pdf]	International Journal of Computer Vision						63%	91	57	34	5	60	31
633c851ebf625ad7abdda2324e9de093cf623141	appa_real	APPA-REAL	Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database	[pdf]	2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)						70%	10	7	3	0	8	3
0df0d1adea39a5bef318b74faa37de7f3e00b452	mpii_gaze	MPIIGaze	Appearance-based gaze estimation in the wild	[pdf]	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						74%	149	110	39	3	94	54
759a3b3821d9f0e08e0b0a62c8b693230afc3f8d	pubfig	PubFig	Attribute and simile classifiers for face verification	[pdf]	2009 IEEE 12th International Conference on Computer Vision						64%	914	589	325	46	586	316
faf40ce28857aedf183e193486f5b4b0a8c478a2	iit_dehli_ear	IIT Dehli Ear	Automated Human Identification Using Ear Imaging	[pdf]	Unknown						50%	80	40	40	6	35	44
2160788824c4c29ffe213b2cbeb3f52972d73f37	3d_rma	3D-RMA	Automatic 3D face authentication	[pdf]	Image Vision Comput.						54%	100	54	46	8	63	36
213a579af9e4f57f071b884aa872651372b661fd	bbc_pose	BBC Pose	Automatic and Efficient Human Pose Estimation for Sign Language Videos	[pdf]	International Journal of Computer Vision						69%	26	18	8	0	16	11
fcc6fe6007c322641796cb8792718641856a22a7	miw	MIW	Automatic facial makeup detection with application in face recognition	[pdf]	2013 International Conference on Biometrics (ICB)	edu	West Virginia University	United States	39.65404635	-79.96475355	71%	49	35	14	1	19	29
fcc6fe6007c322641796cb8792718641856a22a7	youtube_makeup	YMU	Automatic facial makeup detection with application in face recognition	[pdf]	2013 International Conference on Biometrics (ICB)	edu	West Virginia University	United States	39.65404635	-79.96475355	71%	49	35	14	1	19	29
0a85bdff552615643dd74646ac881862a7c7072d	pipa	PIPA	Beyond frontal faces: Improving Person Recognition using multiple cues	[pdf]	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)	company	Facebook	United States	37.39367170	-122.08072620	83%	69	57	11	2	49	18
2acf7e58f0a526b957be2099c10aab693f795973	bosphorus	The Bosphorus	Bosphorus Database for 3D Face Analysis	[pdf]	Unknown						57%	352	200	152	17	162	188
37d6f0eb074d207b53885bd2eb78ccc8a04be597	vmu	VMU	Can facial cosmetics affect the matching accuracy of face recognition systems?	[pdf]	2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)	edu	West Virginia University	United States	39.65404635	-79.96475355	62%	53	33	20	0	19	31
37d6f0eb074d207b53885bd2eb78ccc8a04be597	youtube_makeup	YMU	Can facial cosmetics affect the matching accuracy of face recognition systems?	[pdf]	2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)	edu	West Virginia University	United States	39.65404635	-79.96475355	62%	53	33	20	0	19	31
8d5998cd984e7cce307da7d46f155f9db99c6590	chalearn	ChaLearn	ChaLearn looking at people: A review of events and resources	[pdf]	2017 International Joint Conference on Neural Networks (IJCNN)						69%	13	9	4	1	8	4
2bf8541199728262f78d4dced6fb91479b39b738	clothing_co_parsing	CCP	Clothing Co-parsing by Joint Image Segmentation and Labeling	[pdf]	2014 IEEE Conference on Computer Vision and Pattern Recognition						70%	60	42	18	0	34	28
22ad2c8c0f4d6aa4328b38d894b814ec22579761	gallagher	Gallagher	Clothing cosegmentation for recognizing people	[pdf]	2008 IEEE Conference on Computer Vision and Pattern Recognition	edu	Carnegie Mellon University	United States	40.44416190	-79.94272826	65%	178	116	62	7	100	86
4b1d23d17476fcf78f4cbadf69fb130b1aa627c0	leeds_sports_pose	Leeds Sports Pose	Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation	[pdf]	Unknown						76%	285	218	67	5	197	93
4b1d23d17476fcf78f4cbadf69fb130b1aa627c0	stickmen_buffy	Buffy Stickmen	Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation	[pdf]	Unknown						76%	285	218	67	5	197	93
45c31cde87258414f33412b3b12fc5bec7cb3ba9	jaffe	JAFFE	Coding Facial Expressions with Gabor Wavelets	[pdf]	Unknown						57%	899	509	390	51	431	451
b1f4423c227fa37b9680787be38857069247a307	afew_va	AFEW-VA	Collecting Large, Richly Annotated Facial-Expression Databases from Movies	[pdf]	IEEE MultiMedia	edu	Australian National University	Australia	-35.27769990	149.11852700	64%	181	116	65	8	87	97
7f4040b482d16354d5938c1d1b926b544652bf5b	nova_emotions	Novaemötions Dataset	Competitive affective gaming: winning with a smile	[pdf]	Unknown	edu	Universidade NOVA de Lisboa, Caparica, Portugal	Portugal	38.66096400	-9.20581300	78%	9	7	2	0	5	4
079a0a3bf5200994e1f972b1b9197bf2f90e87d4	mit_cbcl	MIT CBCL	Component-Based Face Recognition with 3D Morphable Models	[pdf]	2004 Conference on Computer Vision and Pattern Recognition Workshop						100%	0	0	0	0	0	0
23fc83c8cfff14a16df7ca497661264fc54ed746	cohn_kanade	CK	Comprehensive Database for Facial Expression Analysis	[pdf]	Unknown						55%	999	553	446	69	540	439
09d78009687bec46e70efcf39d4612822e61cb8c	raid	43	Consistent Re-identification in a Camera Network	[pdf]	Unknown						71%	49	35	14	3	34	13
0ceda9dae8b9f322df65ca2ef02caca9758aec6f	casablanca	Casablanca	Context-Aware CNNs for Person Head Detection	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)						64%	33	21	12	1	23	11
0ceda9dae8b9f322df65ca2ef02caca9758aec6f	hollywood_headset	HollywoodHeads	Context-Aware CNNs for Person Head Detection	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)						64%	33	21	12	1	23	11
c06b13d0ec3f5c43e2782cd22542588e233733c3	nova_emotions	Novaemötions Dataset	Crowdsourcing facial expressions for affective-interaction	[pdf]	Computer Vision and Image Understanding						100%	1	1	0	0	1	0
8355d095d3534ef511a9af68a3b2893339e3f96b	imdb_wiki	IMDB-Wiki	DEX: Deep EXpectation of Apparent Age from a Single Image	[pdf]	2015 IEEE International Conference on Computer Vision Workshop (ICCVW)						79%	122	96	26	4	75	48
5a5f0287484f0d480fed1ce585dbf729586f0edc	disfa	DISFA	DISFA: A Spontaneous Facial Action Intensity Database	[pdf]	IEEE Transactions on Affective Computing	edu	University of Denver	United States	39.67665410	-104.96220300	55%	184	102	82	17	96	89
10195a163ab6348eef37213a46f60a3d87f289c5	imdb_wiki	IMDB-Wiki	Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks	[pdf]	International Journal of Computer Vision	edu	ETH Zurich	Switzerland	47.37631300	8.54766990	73%	145	106	39	9	93	51
162ea969d1929ed180cc6de9f0bf116993ff6e06	vgg_faces	VGG Face	Deep Face Recognition	[pdf]	Unknown						66%	999	657	342	48	558	429
6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4	celeba	CelebA	Deep Learning Face Attributes in the Wild	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)	edu	Chinese University of Hong Kong	China	22.41626320	114.21093180	58%	919	531	387	61	694	201
18010284894ed0edcca74e5bf768ee2e15ef7841	deep_fashion	DeepFashion	DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						64%	176	113	63	2	113	62
6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3	cuhk_campus_03	CUHK03 Campus	DeepReID: Deep Filter Pairing Neural Network for Person Re-identification	[pdf]	2014 IEEE Conference on Computer Vision and Pattern Recognition						73%	568	413	155	19	320	235
13f06b08f371ba8b5d31c3e288b4deb61335b462	eth_andreas_ess	ETHZ Pedestrian	Depth and Appearance for Mobile Scene Analysis	[pdf]	2007 IEEE 11th International Conference on Computer Vision	edu	ETH Zurich	Switzerland	47.37631300	8.54766990	63%	324	205	119	26	193	127
4946ba10a4d5a7d0a38372f23e6622bd347ae273	coco_action	COCO-a	Describing Common Human Visual Actions in Images	[pdf]	Unknown						68%	25	17	8	0	23	2
7808937b46acad36e43c30ae4e9f3fd57462853d	bpad	BPAD	Describing people: A poselet-based approach to attribute classification	[pdf]	2011 International Conference on Computer Vision						61%	230	141	89	14	163	66
d3200d49a19a4a4e4e9745ee39649b65d80c834b	scut_head	SCUT HEAD	Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture	[pdf]	2018 24th International Conference on Pattern Recognition (ICPR)						100%	0	0	0	0	0	0
9cc8cf0c7d7fa7607659921b6ff657e17e135ecc	mafa	MAsked FAces	Detecting Masked Faces in the Wild with LLE-CNNs	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						80%	5	4	1	0	4	1
56ae6d94fc6097ec4ca861f0daa87941d1c10b70	cmdp	CMDP	Distance Estimation of an Unknown Person from a Portrait	[pdf]	Unknown						44%	9	4	5	0	6	3
84fe5b4ac805af63206012d29523a1e033bc827e	awe_ears	AWE Ears	Ear Recognition: More Than a Survey	[pdf]	Neurocomputing						77%	26	20	6	0	10	16
133f01aec1534604d184d56de866a4bd531dac87	lfw	LFW	Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence						61%	183	111	72	12	103	77
c900e0ad4c95948baaf0acd8449fde26f9b4952a	emotio_net	EmotioNet Database	EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						53%	86	46	40	7	54	29
2161f6b7ee3c0acc81603b01dc0df689683577b9	large_scale_person_search	Large Scale Person Search	End-to-End Deep Learning for Person Search	[pdf]	CoRR						70%	46	32	14	0	27	16
1bd1645a629f1b612960ab9bba276afd4cf7c666	brainwash	Brainwash	End-to-End People Detection in Crowded Scenes	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)	edu	Stanford University	United States	37.43131385	-122.16936535	69%	67	46	20	2	42	23
6273b3491e94ea4dd1ce42b791d77bdc96ee73a8	viper	VIPeR	Evaluating Appearance Models for Recognition, Reacquisition, and Tracking	[pdf]	Unknown	edu	University of California, Santa Cruz	United States	36.99158470	-122.05827710	67%	624	415	209	33	342	276
2258e01865367018ed6f4262c880df85b94959f8	mot	MOT	Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics	[pdf]	EURASIP J. Image and Video Processing						58%	632	366	264	44	358	264
9e5378e7b336c89735d3bb15cf67eff96f86d39a	precarious	Precarious	Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						43%	14	6	8	0	12	1
35b0331dfcd2897abd5749b49ff5e2b8ba0f7a62	coco_qa	COCO QA	Exploring Models and Data for Image Question Answering	[pdf]	Unknown						61%	206	126	80	11	162	39
2cd7821fcf5fae53a185624f7eeda007434ae037	geofaces	GeoFaces	Exploring the geo-dependence of human face appearance	[pdf]	IEEE Winter Conference on Applications of Computer Vision						88%	8	7	1	0	5	3
2cd7821fcf5fae53a185624f7eeda007434ae037	geofaces	GeoFaces	Exploring the geo-dependence of human face appearance	[pdf]	IEEE Winter Conference on Applications of Computer Vision						88%	8	7	1	0	5	3
75da1df4ed319926c544eefe17ec8d720feef8c0	fddb	FDDB	FDDB: A benchmark for face detection in unconstrained settings	[pdf]	Unknown						65%	380	248	132	16	202	164
31de9b3dd6106ce6eec9a35991b2b9083395fd0b	feret	FERET	FERET ( Face Recognition Technology ) Recognition Algorithm Development and Test Results	[pdf]	Unknown						52%	75	39	36	5	54	20
0e986f51fe45b00633de9fd0c94d082d2be51406	afw	AFW	Face detection, pose estimation, and landmark localization in the wild	[pdf]	2012 IEEE Conference on Computer Vision and Pattern Recognition						73%	999	725	274	35	576	422
560e0e58d0059259ddf86fcec1fa7975dee6a868	youtube_faces	YouTubeFaces	Face recognition in unconstrained videos with matched background similarity	[pdf]	CVPR 2011	edu	Tel Aviv University	Israel	32.11198890	34.80459702	67%	509	343	165	23	294	216
670637d0303a863c1548d5b19f705860a23e285c	face_tracer	FaceTracer	Face swapping: automatically replacing faces in photographs	[pdf]	Unknown						100%	0	0	0	0	0	0
6204776d31359d129a582057c2d788a14f8aadeb	youtube_celebrities	YouTube Celebrities	Face tracking and recognition with visual constraints in real-world videos	[pdf]	2008 IEEE Conference on Computer Vision and Pattern Recognition	edu	Rutgers University	United States	40.47913175	-74.43168868	57%	267	152	114	11	125	121
4c170a0dcc8de75587dae21ca508dab2f9343974	face_tracer	FaceTracer	FaceTracer: A Search Engine for Large Collections of Images with Faces	[pdf]	Unknown						65%	225	146	79	17	146	77
7ebb153704706e457ab57b432793d2b6e5d12592	vgg_celebs_in_places	CIP	Faces in Places: compound query retrieval	[pdf]	Unknown						100%	5	5	0	0	3	2
0ab7cff2ccda7269b73ff6efd9d37e1318f7db25	ibm_dif	IBM Diversity in Faces	Facial Coding Scheme Reference 1 Craniofacial Distances	[pdf]	Unknown						100%	0	0	0	0	0	0
8a3c5507237957d013a0fe0f082cab7f757af6ee	mafl	MAFL	Facial Landmark Detection by Deep Multi-task Learning	[pdf]	Unknown						71%	407	287	120	16	252	153
8a3c5507237957d013a0fe0f082cab7f757af6ee	mtfl	MTFL	Facial Landmark Detection by Deep Multi-task Learning	[pdf]	Unknown						71%	407	287	120	16	252	153
4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7	deep_fashion	DeepFashion	Fashion Landmark Detection in the Wild	[pdf]	Unknown						77%	26	20	6	1	16	10
060820f110a72cbf02c14a6d1085bd6e1d994f6a	caltech_crp	Caltech CRP	Fine-grained classification of pedestrians in video: Benchmark and state of the art	[pdf]	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)	edu	California Institute of Technology	United States	34.13710185	-118.12527487	47%	17	8	9	0	9	8
45e616093a92e5f1e61a7c6037d5f637aa8964af	malf	MALF	Fine-grained evaluation on face detection in the wild	[pdf]	2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)						71%	17	12	5	0	12	5
1aad2da473888cb7ebc1bfaa15bfa0f1502ce005	jpl_pose	JPL-Interaction dataset	First-Person Activity Recognition: What Are They Doing to Me?	[pdf]	2013 IEEE Conference on Computer Vision and Pattern Recognition						67%	148	99	49	7	105	43
7b92d1e53cc87f7a4256695de590098a2f30261e	appa_real	APPA-REAL	From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation	[pdf]	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)						100%	0	0	0	0	0	0
774cbb45968607a027ae4729077734db000a1ec5	urban_tribes	Urban Tribes	From Bikers to Surfers: Visual Recognition of Urban Tribes	[pdf]	Unknown						67%	18	12	6	1	12	6
22f656d0f8426c84a33a267977f511f127bfd7f3	expw	ExpW	From Facial Expression Recognition to Interpersonal Relation Prediction	[pdf]	International Journal of Computer Vision						55%	11	6	5	0	5	4
18c72175ddbb7d5956d180b65a96005c100f6014	yale_faces	YaleFaces	From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose	[pdf]	IEEE Trans. Pattern Anal. Mach. Intell.						56%	999	562	437	66	498	462
06f02199690961ba52997cde1527e714d2b3bf8f	columbia_gaze	Columbia Gaze	Gaze locking: passive eye contact detection for human-object interaction	[pdf]	Unknown	edu	Columbia University	United States	40.84198360	-73.94368971	76%	79	60	19	0	49	34
18858cc936947fc96b5c06bbe3c6c2faa5614540	pilot_parliament	PPB	Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification	[pdf]	Unknown						53%	59	31	28	0	47	10
2eb84aaba316b095d4bb51da1a3e4365bbf9ab1d	kin_face	UB KinFace	Genealogical face recognition based on UB KinFace database	[pdf]	CVPR 2011 WORKSHOPS	edu	SUNY Buffalo	United States	42.93362780	-78.88394479	55%	31	17	14	0	11	21
2eed184680edcdec8a3b605ad1a3ba8e8f7cc2e9	graz	Graz Pedestrian	Generic object recognition with boosting	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence	edu	TU Graz	Austria	47.07071400	15.43950400	53%	293	155	138	16	195	97
17b46e2dad927836c689d6787ddb3387c6159ece	geofaces	GeoFaces	GeoFaceExplorer: exploring the geo-dependence of facial attributes	[pdf]	Unknown						100%	2	2	0	0	1	1
bd88bb2e4f351352d88ee7375af834360e223498	hda_plus	HDA+	HDA dataset-DRAFT 1 A Multi-camera video data set for research on High-Definition surveillance	[pdf]	Unknown						0%	2	0	2	0	1	2
a8d0b149c2eadaa02204d3e4356fbc8eccf3b315	hi4d_adsip	Hi4D-ADSIP	Hi4D-ADSIP 3-D dynamic facial articulation database	[pdf]	Image Vision Comput.						60%	15	9	6	1	4	11
2d45cfd838016a6e39f6b766ffe85acd649440c7	mcgill	McGill Real World	Hierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos	[pdf]	Computer Vision and Image Understanding						75%	8	6	2	0	5	3
3cd40bfa1ff193a96bde0207e5140a399476466c	tvhi	TVHI	High Five: Recognising human interactions in TV shows	[pdf]	Unknown						57%	98	56	42	10	66	28
04c2cda00e5536f4b1508cbd80041e9552880e67	hipsterwars	Hipsterwars	Hipster Wars: Discovering Elements of Fashion Styles	[pdf]	Unknown						64%	95	61	34	4	59	35
10d6b12fa07c7c8d6c8c3f42c7f1c061c131d4c5	inria_person	INRIA Pedestrian	Histograms of oriented gradients for human detection	[pdf]	2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)	edu	INRIA Rhone-Alps, Montbonnot, France	France	45.21788600	5.80736900	57%	999	574	425	41	419	509
041d3eedf5e45ce5c5229f0181c5c576ed1fafd6	ucf_selfie	UCF Selfie	How to Take a Good Selfie?	[pdf]	Unknown						73%	11	8	3	0	7	5
44d23df380af207f5ac5b41459c722c87283e1eb	wider_attribute	WIDER Attribute	Human Attribute Recognition by Deep Hierarchical Contexts	[pdf]	Unknown						72%	18	13	5	0	14	4
44484d2866f222bbb9b6b0870890f9eea1ffb2d0	cuhk_campus_03	CUHK03 Campus	Human Reidentification with Transferred Metric Learning	[pdf]	Unknown						69%	280	194	86	9	139	137
f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44	pa_100k	PA-100K	HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis	[pdf]	2017 IEEE International Conference on Computer Vision (ICCV)						76%	55	42	13	0	36	17
57178b36c21fd7f4529ac6748614bb3374714e91	ijb_c	IJB-C	IARPA Janus Benchmark - C: Face Dataset and Protocol	[pdf]	2018 International Conference on Biometrics (ICB)						79%	14	11	3	0	12	1
0cb2dd5f178e3a297a0c33068961018659d0f443	ijb_b	IJB-B	IARPA Janus Benchmark-B Face Dataset	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)	edu	Michigan State University	United States	42.71856800	-84.47791571	63%	35	22	13	3	25	8
0297448f3ed948e136bb06ceff10eccb34e5bb77	ilids_mcts	i-LIDS Multiple-Camera	Imagery Library for Intelligent Detection Systems (i-LIDS); A Standard for Testing Video Based Detection Systems	[pdf]	Proceedings 40th Annual 2006 International Carnahan Conference on Security Technology						57%	35	20	15	2	21	14
7f23a4bb0c777dd72cca7665a5f370ac7980217e	duke_mtmc	Duke MTMC	Improving Person Re-identification by Attribute and Identity Learning	[pdf]	CoRR						85%	87	74	13	0	43	42
55c40cbcf49a0225e72d911d762c27bb1c2d14aa	ifad	IFAD	Indian Face Age Database: A Database for Face Recognition with Age Variation	[pdf]	Unknown						50%	2	1	1	0	2	0
ca3e88d87e1344d076c964ea89d91a75c417f5ee	imfdb	IMFDB	Indian Movie Face Database: A benchmark for face recognition under wide variations	[pdf]	2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)	edu	BVBCET, Hubli, India	India	15.36883320	75.12137960	65%	17	11	6	0	11	5
95f12d27c3b4914e0668a268360948bce92f7db3	helen	Helen	Interactive Facial Feature Localization	[pdf]	Unknown	company	Adobe	United States	37.33077030	-121.89409510	83%	440	364	76	7	248	182
ad01687649d95cd5b56d7399a9603c4b8e2217d7	mrp_drone	MRP Drone	Investigating Open-World Person Re-identification Using a Drone	[pdf]	Unknown						43%	7	3	4	1	5	2
2f43b614607163abf41dfe5d17ef6749a1b61304	hrt_transgender	HRT Transgender	Investigating the Periocular-Based Face Recognition Across Gender Transformation	[pdf]	IEEE Transactions on Information Forensics and Security	edu	University of North Carolina at Wilmington	United States	34.22498270	-77.86907744	77%	13	10	3	0	6	8
066d71fcd997033dce4ca58df924397dfe0b5fd1	ifdb	IFDB	Iranian Face Database and Evaluation with a New Detection Algorithm	[pdf]	Unknown						100%	0	0	0	0	0	0
b71d1aa90dcbe3638888725314c0d56640c1fef1	ifdb	IFDB	Iranian Face Database with age, pose and expression	[pdf]	2007 International Conference on Machine Vision	edu	Islamic Azad University	Iran	34.84529990	48.55962120	48%	23	11	12	2	14	9
137aa2f891d474fce1e7a1d1e9b3aefe21e22b34	hrt_transgender	HRT Transgender	Is the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset	[pdf]	2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)						57%	7	4	3	1	3	5
0b440695c822a8e35184fb2f60dcdaa8a6de84ae	kinectface	KinectFaceDB	KinectFaceDB: A Kinect Database for Face Recognition	[pdf]	IEEE Transactions on Systems, Man, and Cybernetics: Systems	edu	University of North Carolina at Chapel Hill	United States	35.91139710	-79.05045290	61%	82	50	32	6	28	52
4793f11fbca4a7dba898b9fff68f70d868e2497c	kin_face	UB KinFace	Kinship Verification through Transfer Learning	[pdf]	Unknown						58%	71	41	30	2	29	42
2d3482dcff69c7417c7b933f22de606a0e8e42d4	lfw	LFW	Labeled Faces in the Wild : Updates and New Reporting Procedures	[pdf]	Unknown	edu	University of Massachusetts	United States	42.38897850	-72.52869870	69%	123	85	38	3	71	51
370b5757a5379b15e30d619e4d3fb9e8e13f3256	lfw	LFW	Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments	[pdf]	Unknown						64%	999	637	362	58	598	382
7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22	lfw	LFW	Labeled Faces in the Wild: A Survey	[pdf]	Unknown	edu	Stevens Institute of Technology	United States	40.74225200	-74.02709490	64%	109	70	39	7	66	43
0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e	lag	LAG	Large age-gap face verification by feature injection in deep networks	[pdf]	Pattern Recognition Letters						71%	7	5	2	0	3	4
07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1	uccs	UCCS	Large scale unconstrained open set face database	[pdf]	2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)	company	Securics Inc., Colorado Springs, CO	United States	38.83388160	-104.82136340	83%	6	5	1	0	4	2
4af89578ac237278be310f7660a408b03f12d603	geofaces	GeoFaces	Large-scale geo-facial image analysis	[pdf]	EURASIP J. Image and Video Processing						100%	6	6	0	0	4	2
a0fd85b3400c7b3e11122f44dc5870ae2de9009a	mafl	MAFL	Learning Deep Representation for Face Alignment with Auxiliary Attributes	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence	edu	University of Hong Kong	China	22.20814690	114.25964115	73%	108	79	29	7	66	44
a0fd85b3400c7b3e11122f44dc5870ae2de9009a	mtfl	MTFL	Learning Deep Representation for Face Alignment with Auxiliary Attributes	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence	edu	University of Hong Kong	China	22.20814690	114.25964115	73%	108	79	29	7	66	44
853bd61bc48a431b9b1c7cab10c603830c488e39	casia_webface	CASIA Webface	Learning Face Representation from Scratch	[pdf]	CoRR	edu	Chinese Academy of Sciences	China	40.00447950	116.37023800	72%	476	344	132	19	290	182
2a171f8d14b6b8735001a11c217af9587d095848	social_relation	Social Relation	Learning Social Relation Traits from Face Images	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)						61%	23	14	9	4	16	7
4e4746094bf60ee83e40d8597a6191e463b57f76	leeds_sports_pose_extended	Leeds Sports Pose Extended	Learning effective human pose estimation from inaccurate annotation	[pdf]	CVPR 2011	edu	University of Leeds	United Kingdom	53.80387185	-1.55245712	76%	169	128	41	6	108	65
287ddcb3db5562235d83aee318f318b8d5e43fb1	erce	ERCe	Learning from Multiple Sources for Video Summarisation	[pdf]	International Journal of Computer Vision						57%	7	4	3	0	4	3
287ddcb3db5562235d83aee318f318b8d5e43fb1	tisi	Times Square Intersection	Learning from Multiple Sources for Video Summarisation	[pdf]	International Journal of Computer Vision						57%	7	4	3	0	4	3
5981e6479c3fd4e31644db35d236bfb84ae46514	mot	MOT	Learning to associate: HybridBoosted multi-target tracker for crowded scene	[pdf]	2009 IEEE Conference on Computer Vision and Pattern Recognition	edu	University of Southern California	United States	34.02241490	-118.28634407	61%	326	200	125	22	190	137
6dd0597f8513dc100cd0bc1b493768cde45098a9	stickmen_buffy	Buffy Stickmen	Learning to parse images of articulated bodies	[pdf]	Unknown						64%	369	237	131	29	237	131
6dd0597f8513dc100cd0bc1b493768cde45098a9	stickmen_pascal	Stickmen PASCAL	Learning to parse images of articulated bodies	[pdf]	Unknown						64%	369	237	131	29	237	131
6dd0597f8513dc100cd0bc1b493768cde45098a9	stickmen_pascal	Stickmen PASCAL	Learning to parse images of articulated bodies	[pdf]	Unknown						64%	369	237	131	29	237	131
15af83373274f4b4c5976c5f384ea0a5c124b287	megaface	MegaFace	Level Playing Field for Million Scale Face Recognition	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						62%	64	40	24	5	44	19
46a01565e6afe7c074affb752e7069ee3bf2e4ef	sdu_vid	SDU-VID	Local Descriptors Encoded by Fisher Vectors for Person Re-identification	[pdf]	Unknown						67%	197	132	65	15	108	88
140438a77a771a8fb656b39a78ff488066eb6b50	lfpw	LFPW	Localizing Parts of Faces Using a Consensus of Exemplars	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence						100%	0	0	0	0	0	0
38b55d95189c5e69cf4ab45098a48fba407609b4	cuhk_campus_03	CUHK03 Campus	Locally Aligned Feature Transforms across Views	[pdf]	2013 IEEE Conference on Computer Vision and Pattern Recognition						64%	258	164	94	15	136	117
8990cdce3f917dad622e43e033db686b354d057c	tiny_faces	TinyFace	Low-Resolution Face Recognition	[pdf]	CoRR						100%	0	0	0	0	0	0
c0387e788a52f10bf35d4d50659cfa515d89fbec	mars	MARS	MARS: A Video Benchmark for Large-Scale Person Re-Identification	[pdf]	Unknown						68%	168	115	53	4	97	69
9055b155cbabdce3b98e16e5ac9c0edf00f9552f	morph	MORPH Commercial	MORPH: a longitudinal image database of normal adult age-progression	[pdf]	7th International Conference on Automatic Face and Gesture Recognition (FGR06)	edu	North Carolina University	United States	34.22398690	-77.87013250	59%	437	259	177	22	228	203
9055b155cbabdce3b98e16e5ac9c0edf00f9552f	morph_nc	MORPH-II	MORPH: a longitudinal image database of normal adult age-progression	[pdf]	7th International Conference on Automatic Face and Gesture Recognition (FGR06)	edu	North Carolina University	United States	34.22398690	-77.87013250	59%	437	259	177	22	228	203
291265db88023e92bb8c8e6390438e5da148e8f5	msceleb	MsCeleb	MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition	[pdf]	Unknown	company	Microsoft	United States	47.64233180	-122.13693020	79%	180	143	37	8	120	59
3dc3f0b64ef80f573e3a5f96e456e52ee980b877	georgia_tech_face_database	Georgia Tech Face	Maximum Likelihood Training of the Embedded HMM for Face Detection and Recognition	[pdf]	Unknown						54%	67	36	31	4	29	28
e58dd160a76349d46f881bd6ddbc2921f08d1050	gfw	Grouping Face in the Wild	Merge or Not? Learning to Group Faces via Imitation Learning	[pdf]	Unknown						100%	2	2	0	0	2	0
5753b2b5e442eaa3be066daa4a2ca8d8a0bb1725	fpoq	50 People One Question	Merging Pose Estimates Across Space and Time	[pdf]	Unknown						81%	16	13	3	0	13	4
5e0f8c355a37a5a89351c02f174e7a5ddcb98683	coco	COCO	Microsoft COCO: Common Objects in Context	[pdf]	Unknown						61%	999	609	390	25	722	259
41976ebc8ab76d9a6861487c97cc7fcbe3b6015f	moments_in_time	Moments in Time	Moments in Time Dataset: one million videos for event understanding	[pdf]	CoRR	edu	Columbia University	United States	40.84198360	-73.94368971	76%	29	22	7	2	27	2
436f798d1a4e54e5947c1e7d7375c31b2bdb4064	tud_multiview	TUD-Multiview	Monocular 3D pose estimation and tracking by detection	[pdf]	2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition	edu	TU Darmstadt	Germany	49.87482770	8.65632810	60%	311	188	123	33	208	105
436f798d1a4e54e5947c1e7d7375c31b2bdb4064	tud_stadtmitte	TUD-Stadtmitte	Monocular 3D pose estimation and tracking by detection	[pdf]	2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition	edu	TU Darmstadt	Germany	49.87482770	8.65632810	60%	311	188	123	33	208	105
3b5b6d19d4733ab606c39c69a889f9e67967f151	qmul_grid	GRID	Multi-camera activity correlation analysis	[pdf]	2009 IEEE Conference on Computer Vision and Pattern Recognition	edu	Queen Mary University of London	United Kingdom	51.52472720	-0.03931035	69%	142	98	44	7	77	64
6ad5a38df8dd4cdddd74f31996ce096d41219f72	tud_brussels	TUD-Brussels	Multi-cue onboard pedestrian detection	[pdf]	2009 IEEE Conference on Computer Vision and Pattern Recognition						100%	0	0	0	0	0	0
6ad5a38df8dd4cdddd74f31996ce096d41219f72	tud_motionpairs	TUD-Motionparis	Multi-cue onboard pedestrian detection	[pdf]	2009 IEEE Conference on Computer Vision and Pattern Recognition						100%	0	0	0	0	0	0
32c801cb7fbeb742edfd94cccfca4934baec71da	ucf_crowd	UCF-CC-50	Multi-source Multi-scale Counting in Extremely Dense Crowd Images	[pdf]	2013 IEEE Conference on Computer Vision and Pattern Recognition						76%	148	113	35	3	80	65
1e3df3ca8feab0b36fd293fe689f93bb2aaac591	immediacy	Immediacy	Multi-task Recurrent Neural Network for Immediacy Prediction	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)						62%	26	16	10	2	21	6
2b926b3586399d028b46315d7d9fb9d879e4f79c	frav3d	FRAV3D	Multimodal 2D, 2.5D & 3D Face Verification	[pdf]	2006 International Conference on Image Processing	edu	Universidad Rey Juan Carlos, Spain	Spain	40.33586610	-3.87694320	57%	14	8	6	0	2	12
53ae38a6bb2b21b42bac4f0c4c8ed1f9fa02f9d4	bp4d_plus	BP4D+	Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						55%	42	23	19	0	17	26
2fda164863a06a92d3a910b96eef927269aeb730	names_and_faces	News Dataset	Names and faces in the news	[pdf]	Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.						100%	0	0	0	0	0	0
4156b7e88f2e0ab0a7c095b9bab199ae2b23bd06	distance_nighttime	Long Distance Heterogeneous Face	Nighttime Face Recognition at Long Distance: Cross-Distance and Cross-Spectral Matching	[pdf]	Unknown						50%	22	11	11	3	11	10
3394168ff0719b03ff65bcea35336a76b21fe5e4	penn_fudan	Penn Fudan	Object Detection Combining Recognition and Segmentation	[pdf]	Unknown						61%	105	64	41	9	58	43
12ad3b5bbbf407f8e54ea692c07633d1a867c566	graz	Graz Pedestrian	Object recognition using segmentation for feature detection	[pdf]	Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.	edu	Inst. of Comput. Sci., Univ. of Leoben, Austria	Austria	47.38473720	15.09302010	100%	0	0	0	0	0	0
4f93cd09785c6e77bf4bc5a788e079df524c8d21	soton	SOTON HiD	On a Large Sequence-Based Human Gait Database	[pdf]	Unknown						63%	150	95	55	17	103	51
6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c	afad	AFAD	Ordinal Regression with Multiple Output CNN for Age Estimation	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						56%	78	44	34	8	44	31
a7fe834a0af614ce6b50dc093132b031dd9a856b	market_1501	Market 1501	Orientation Driven Bag of Appearances for Person Re-identification	[pdf]	CoRR						43%	7	3	4	0	4	4
a7fe834a0af614ce6b50dc093132b031dd9a856b	pku_reid	PKU-Reid	Orientation Driven Bag of Appearances for Person Re-identification	[pdf]	CoRR						43%	7	3	4	0	4	4
18ae7c9a4bbc832b8b14bc4122070d7939f5e00e	frgc	FRGC	Overview of the face recognition grand challenge	[pdf]	2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)	edu	NIST	United States	39.14004000	-77.21850600	57%	999	570	428	84	549	442
22909dd19a0ec3b6065334cb5be5392cb24d839d	pets	PETS 2017	PETS 2017: Dataset and Challenge	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)						44%	9	4	5	0	1	8
56ffa7d906b08d02d6d5a12c7377a57e24ef3391	unbc_shoulder_pain	UNBC-McMaster Pain	Painful data: The UNBC-McMaster shoulder pain expression archive database	[pdf]	Face and Gesture 2011	edu	Carnegie Mellon University	United States	40.44416190	-79.94272826	56%	189	105	84	21	108	78
55206f0b5f57ce17358999145506cd01e570358c	orl	ORL	Parameterisation of a stochastic model for human face identification	[pdf]	Unknown						50%	999	501	498	94	543	427
0486214fb58ee9a04edfe7d6a74c6d0f661a7668	chokepoint	ChokePoint	Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition	[pdf]	CVPR 2011 WORKSHOPS						61%	138	84	54	6	76	63
488e475eeb3bb39a145f23ede197cd3620f1d98a	apis	APiS1.0	Pedestrian Attribute Classification in Surveillance: Database and Evaluation	[pdf]	2013 IEEE International Conference on Computer Vision Workshops						71%	28	20	8	0	13	15
488e475eeb3bb39a145f23ede197cd3620f1d98a	svs	SVS	Pedestrian Attribute Classification in Surveillance: Database and Evaluation	[pdf]	2013 IEEE International Conference on Computer Vision Workshops						71%	28	20	8	0	13	15
2a4bbee0b4cf52d5aadbbc662164f7efba89566c	peta	PETA	Pedestrian Attribute Recognition At Far Distance	[pdf]	Unknown						75%	88	66	22	1	50	36
f72f6a45ee240cc99296a287ff725aaa7e7ebb35	caltech_pedestrians	Caltech Pedestrians	Pedestrian Detection: An Evaluation of the State of the Art	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence	edu	California Institute of Technology	United States	34.13710185	-118.12527487	60%	999	602	397	68	527	466
1dc35905a1deff8bc74688f2d7e2f48fd2273275	caltech_pedestrians	Caltech Pedestrians	Pedestrian detection: A benchmark	[pdf]	2009 IEEE Conference on Computer Vision and Pattern Recognition						100%	0	0	0	0	0	0
3316521a5527c7700af8ae6aef32a79a8b83672c	tud_campus	TUD-Campus	People-tracking-by-detection and people-detection-by-tracking	[pdf]	2008 IEEE Conference on Computer Vision and Pattern Recognition						60%	545	325	219	37	330	218
3316521a5527c7700af8ae6aef32a79a8b83672c	tud_crossing	TUD-Crossing	People-tracking-by-detection and people-detection-by-tracking	[pdf]	2008 IEEE Conference on Computer Vision and Pattern Recognition						60%	545	325	219	37	330	218
3316521a5527c7700af8ae6aef32a79a8b83672c	tud_pedestrian	TUD-Pedestrian	People-tracking-by-detection and people-detection-by-tracking	[pdf]	2008 IEEE Conference on Computer Vision and Pattern Recognition						60%	545	325	219	37	330	218
27a2fad58dd8727e280f97036e0d2bc55ef5424c	duke_mtmc	Duke MTMC	Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking	[pdf]	Unknown	edu	Duke University	United States	35.99905220	-78.92906290	86%	169	145	24	3	113	54
27a2fad58dd8727e280f97036e0d2bc55ef5424c	mot	MOT	Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking	[pdf]	Unknown	edu	Duke University	United States	35.99905220	-78.92906290	86%	169	145	24	3	113	54
16c7c31a7553d99f1837fc6e88e77b5ccbb346b8	prid	PRID	Person Re-identification by Descriptive and Discriminative Classification	[pdf]	Unknown						68%	386	263	123	23	204	180
98bb029afe2a1239c3fdab517323066f0957b81b	ilids_mcts_vid	iLIDS-VID	Person Re-identification by Video Ranking	[pdf]	Unknown						68%	209	143	66	8	111	97
98bb029afe2a1239c3fdab517323066f0957b81b	sdu_vid	SDU-VID	Person Re-identification by Video Ranking	[pdf]	Unknown						68%	209	143	66	8	111	97
0b84f07af44f964817675ad961def8a51406dd2e	prw	PRW	Person Re-identification in the Wild	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						68%	77	52	25	1	47	27
a0cc5f73a37723a6dd465924143f1cb4976d0169	msmt_17	MSMT17	Person Transfer GAN to Bridge Domain Gap for Person Re-identification	[pdf]	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition						92%	24	22	2	1	20	4
1c2802c2199b6d15ecefe7ba0c39bfe44363de38	youtube_poses	YouTube Pose	Personalizing Human Video Pose Estimation	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)	edu	Oxford University	United Kingdom	51.75208490	-1.25166460	67%	36	24	12	1	30	8
2830fb5282de23d7784b4b4bc37065d27839a412	h3d	H3D	Poselets: Body part detectors trained using 3D human pose annotations	[pdf]	2009 IEEE 12th International Conference on Computer Vision						59%	716	423	293	58	492	222
3765df816dc5a061bc261e190acc8bdd9d47bec0	rafd	RaFD	Presentation and validation of the Radboud Faces Database	[pdf]	Unknown						48%	487	234	253	39	342	144
636b8ffc09b1b23ff714ac8350bb35635e49fa3c	caltech_10k_web_faces	Caltech 10K Web Faces	Pruning training sets for learning of object categories	[pdf]	2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)						70%	63	44	19	4	42	20
3531332efe19be21e7401ba1f04570a142617236	ufdd	UFDD	Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results	[pdf]	CoRR						75%	4	3	1	0	4	0
140c95e53c619eac594d70f6369f518adfea12ef	ijb_a	IJB-A	Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A	[pdf]	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						67%	237	158	79	14	159	76
8fee9b8c44626c4ac6b96ef183394bc4f36dc95f	megaage	MegaAge	Quantifying Facial Age by Posterior of Age Comparisons	[pdf]	CoRR						50%	12	6	6	0	7	3
922e0a51a3b8c67c4c6ac09a577ff674cbd28b34	v47	V47	Re-identification of pedestrians with variable occlusion and scale	[pdf]	2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)	edu	Kingston University	United Kingdom	51.42930860	-0.26840440	56%	9	5	4	1	5	4
6f3c76b7c0bd8e1d122c6ea808a271fd4749c951	ward	WARD	Re-identify people in wide area camera network	[pdf]	2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops	edu	University of Udine	Italy	46.08107230	13.21194740	60%	60	36	24	1	38	21
54983972aafc8e149259d913524581357b0f91c3	reseed	ReSEED	ReSEED: social event dEtection dataset	[pdf]	Unknown						67%	6	4	2	1	1	5
65355cbb581a219bd7461d48b3afd115263ea760	complex_activities	Ongoing Complex Activities	Recognition of ongoing complex activities by sequence prediction over a hierarchical label space	[pdf]	2016 IEEE Winter Conference on Applications of Computer Vision (WACV)						33%	3	1	2	0	3	0
e8de844fefd54541b71c9823416daa238be65546	visual_phrases	Phrasal Recognition	Recognition using visual phrases	[pdf]	CVPR 2011	edu	University of Illinois, Urbana-Champaign	United States	40.11116745	-88.22587665	59%	246	144	102	17	170	68
356b431d4f7a2a0a38cf971c84568207dcdbf189	wider	WIDER	Recognize complex events from static images by fusing deep channels	[pdf]	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						70%	44	31	13	1	29	15
25474c21613607f6bb7687a281d5f9d4ffa1f9f3	faceplace	Face Place	Recognizing disguised faces	[pdf]	Unknown						38%	29	11	18	0	18	10
4053e3423fb70ad9140ca89351df49675197196a	bio_id	BioID Face	Robust Face Detection Using the Hausdorff Distance	[pdf]	Unknown						57%	511	292	219	49	329	182
2724ba85ec4a66de18da33925e537f3902f21249	cofw	COFW	Robust Face Landmark Estimation under Occlusion	[pdf]	2013 IEEE International Conference on Computer Vision	edu	California Institute of Technology	United States	34.13710185	-118.12527487	75%	325	245	80	11	194	133
c570d1247e337f91e555c3be0e8c8a5aba539d9f	mcgill	McGill Real World	Robust semi-automatic head pose labeling for real-world face video sequences	[pdf]	Multimedia Tools and Applications	edu	McGill University	Canada	45.50397610	-73.57496870	44%	18	8	10	0	13	7
e27ef52c641c2b5100a1b34fd0b819e84a31b4df	sarc3d	Sarc3D	SARC3D: A New 3D Body Model for People Tracking and Re-identification	[pdf]	Unknown						74%	34	25	9	2	21	12
bd26dabab576adb6af30484183c9c9c8379bf2e0	scut_fbp	SCUT-FBP	SCUT-FBP: A Benchmark Dataset for Facial Beauty Perception	[pdf]	2015 IEEE International Conference on Systems, Man, and Cybernetics						47%	19	9	10	2	6	13
29a705a5fa76641e0d8963f1fdd67ee4c0d92d3d	scface	SCface	SCface – surveillance cameras face database	[pdf]	Multimedia Tools and Applications						57%	179	102	77	15	88	89
d3f5a1848b0028d8ab51d0b0673732cad2e3c8c9	stair_actions	STAIR Action	STAIR Actions: A Video Dataset of Everyday Home Actions	[pdf]	CoRR						100%	1	1	0	0	1	0
833fa04463d90aab4a9fe2870d480f0b40df446e	sun_attributes	SUN	SUN attribute database: Discovering, annotating, and recognizing scene attributes	[pdf]	2012 IEEE Conference on Computer Vision and Pattern Recognition	edu	Brown University	United States	41.82686820	-71.40123146	61%	264	160	104	27	206	56
4308bd8c28e37e2ed9a3fcfe74d5436cce34b410	market_1501	Market 1501	Scalable Person Re-identification: A Benchmark	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)	company	Microsoft	United States	47.64233180	-122.13693020	77%	460	356	104	9	263	185
9c23859ec7313f2e756a3e85575735e0c52249f4	facebook_100	Facebook100	Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook	[pdf]	CVPR 2011 WORKSHOPS	edu	Harvard University	United States	42.36782045	-71.12666653	63%	52	33	19	2	38	13
9c23859ec7313f2e756a3e85575735e0c52249f4	pubfig_83	pubfig83	Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook	[pdf]	CVPR 2011 WORKSHOPS	edu	Harvard University	United States	42.36782045	-71.12666653	63%	52	33	19	2	38	13
51eba481dac6b229a7490f650dff7b17ce05df73	imsitu	imSitu	Situation Recognition: Visual Semantic Role Labeling for Image Understanding	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						65%	52	34	18	1	46	6
570f37ed63142312e6ccdf00ecc376341ec72b9f	stanford_drone	Stanford Drone	Social LSTM: Human Trajectory Prediction in Crowded Spaces	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						56%	224	125	99	3	140	81
23e824d1dfc33f3780dd18076284f07bd99f1c43	mifs	MIFS	Spoofing faces using makeup: An investigative study	[pdf]	2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)	edu	INRIA Méditerranée	France	43.61581310	7.06838000	67%	6	4	2	0	1	5
1a40092b493c6b8840257ab7f96051d1a4dbfeb2	sports_videos_in_the_wild	SVW	Sports Videos in the Wild (SVW): A video dataset for sports analysis	[pdf]	2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)						86%	7	6	1	1	5	2
9361b784e73e9238d5cefbea5ac40d35d1e3103f	oxford_town_centre	TownCentre	Stable multi-target tracking in real-time surveillance video	[pdf]	CVPR 2011	edu	University of Oxford	United Kingdom	51.75345380	-1.25400997	68%	328	222	106	13	186	140
2306b2a8fba28539306052764a77a0d0f5d1236a	qmul_surv_face	QMUL-SurvFace	Surveillance Face Recognition Challenge	[pdf]	CoRR	edu	Queen Mary University of London	United Kingdom	51.52472720	-0.03931035	100%	1	1	0	0	1	0
f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f	pku_reid	PKU-Reid	Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification	[pdf]	Unknown						50%	4	2	2	0	1	2
4d58f886f5150b2d5e48fd1b5a49e09799bf895d	texas_3dfrd	Texas 3DFRD	Texas 3D Face Recognition Database	[pdf]	2010 IEEE Southwest Symposium on Image Analysis & Interpretation (SSIAI)						61%	66	40	26	3	40	27
6d96f946aaabc734af7fe3fc4454cf8547fcd5ed	ar_facedb	AR Face	The AR face database	[pdf]	Unknown						58%	999	580	419	58	458	530
2485c98aa44131d1a2f7d1355b1e372f2bb148ad	cas_peal	CAS-PEAL	The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations	[pdf]	IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans						59%	429	255	174	38	198	234
47662d1a368daf70ba70ef2d59eb6209f98b675d	fia	CMU FiA	The CMU Face In Action (FIA) Database	[pdf]	Unknown						48%	54	26	28	5	40	16
4d423acc78273b75134e2afd1777ba6d3a398973	cmu_pie	CMU PIE	The CMU Pose, Illumination, and Expression (PIE) Database	[pdf]	Unknown						59%	760	451	308	49	404	345
4d423acc78273b75134e2afd1777ba6d3a398973	multi_pie	MULTIPIE	The CMU Pose, Illumination, and Expression (PIE) Database	[pdf]	Unknown						59%	760	451	308	49	404	345
4df3143922bcdf7db78eb91e6b5359d6ada004d2	cfd	CFD	The Chicago face database: A free stimulus set of faces and norming data.	[pdf]	Behavior research methods						60%	99	59	40	1	73	21
20388099cc415c772926e47bcbbe554e133343d1	cafe	#N/A	The Child Affective Facial Expression (CAFE) set: validity and reliability from untrained adults	[pdf]							54%	37	20	17	3	30	7
4e6ee936eb50dd032f7138702fa39b7c18ee8907	dartmouth_children	Dartmouth Children	The Dartmouth Database of Children’s Faces: Acquisition and Validation of a New Face Stimulus Set	[pdf]							52%	21	11	10	2	18	3
9e31e77f9543ab42474ba4e9330676e18c242e72	imdb_face	IMDb Face	The Devil of Face Recognition is in the Noise	[pdf]	Unknown	edu	Nanyang Technological University	Singapore	1.34841040	103.68297965	50%	6	3	3	0	4	1
71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6	umd_faces	UMD	The Do’s and Don’ts for CNN-Based Face Verification	[pdf]	2017 IEEE International Conference on Computer Vision Workshops (ICCVW)						62%	26	16	10	2	16	8
72a155c987816ae81c858fddbd6beab656d86220	europersons	EuroCity Persons	The EuroCity Persons Dataset: A Novel Benchmark for Object Detection	[pdf]	CoRR						0%	2	0	2	0	2	0
4d9a02d080636e9666c4d1cc438b9893391ec6c7	cohn_kanade_plus	CK+	The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression	[pdf]	2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops	edu	University of Pittsburgh	United States	40.44415295	-79.96243993	61%	999	608	391	57	470	518
0f0fcf041559703998abf310e56f8a2f90ee6f21	feret	FERET	The FERET Evaluation Methodology for Face-Recognition Algorithms	[pdf]	Unknown						34%	29	10	19	3	18	9
0c4a139bb87c6743c7905b29a3cfec27a5130652	feret	FERET	The FERET Verification Testing Protocol for Face Recognition Algorithms	[pdf]	Unknown	edu	City University of New York	United States	40.87228250	-73.89489171	51%	115	59	56	8	75	37
dc8b25e35a3acb812beb499844734081722319b4	feret	FERET	The FERET database and evaluation procedure for face-recognition algorithms	[pdf]	Image Vision Comput.						53%	999	525	474	101	591	421
8f02ec0be21461fbcedf51d864f944cfc42c875f	hda_plus	HDA+	The HDA+ Data Set for Research on Fully Automated Re-identification Systems	[pdf]	Unknown						50%	16	8	8	1	10	6
8be57cdad86fdf8c8290df4ca3149592f3c46dd3	m2vts	m2vts	The M2VTS Multimodal Face Database (Release 1.00)	[pdf]	Unknown						45%	73	33	40	2	39	33
ea050801199f98a1c7c1df6769f23f658299a3ae	mpi_large	Large MPI Facial Expression	The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions	[pdf]							52%	33	17	16	4	29	4
ea050801199f98a1c7c1df6769f23f658299a3ae	mpi_small	Small MPI Facial Expression	The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions	[pdf]							52%	33	17	16	4	29	4
578d4ad74818086bb64f182f72e2c8bd31e3d426	mr2	MR2	The MR2: A multi-racial, mega-resolution database of facial stimuli.	[pdf]	Behavior research methods						43%	7	3	4	0	7	0
f1af714b92372c8e606485a3982eab2f16772ad8	mug_faces	MUG Faces	The MUG facial expression database	[pdf]	11th International Workshop on Image Analysis for Multimedia Interactive Services WIAMIS 10	edu	Aristotle University of Thessaloniki	Greece	40.62984145	22.95889350	55%	82	45	37	4	34	47
79828e6e9f137a583082b8b5a9dfce0c301989b8	mapillary	Mapillary	The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes	[pdf]	2017 IEEE International Conference on Computer Vision (ICCV)						61%	61	37	24	0	43	16
96e0cfcd81cdeb8282e29ef9ec9962b125f379b0	megaface	MegaFace	The MegaFace Benchmark: 1 Million Faces for Recognition at Scale	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						69%	216	148	68	11	148	61
0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a	voc	VOC	The Pascal Visual Object Classes (VOC) Challenge	[pdf]	International Journal of Computer Vision	company	Microsoft	United States	47.64233180	-122.13693020	61%	999	608	390	28	557	422
66e6f08873325d37e0ec20a4769ce881e04e964e	sun_attributes	SUN	The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding	[pdf]	International Journal of Computer Vision						60%	116	70	46	14	84	31
8b2dd5c61b23ead5ae5508bb8ce808b5ea266730	10k_US_adult_faces	10K US Adult Faces	The intrinsic memorability of face photographs.	[pdf]	Journal of experimental psychology. General						56%	52	29	23	2	36	14
d178cde92ab3dc0dd2ebee5a76a33d556c39448b	jiku_mobile	Jiku Mobile Video Dataset	The jiku mobile video dataset	[pdf]	Unknown	edu	National University of Singapore	Singapore	1.29620180	103.77689944	71%	24	17	7	0	6	19
ae0aee03d946efffdc7af2362a42d3750e7dd48a	put_face	Put Face	The put face database	[pdf]	Unknown						55%	99	54	45	5	55	48
19d1b811df60f86cbd5e04a094b07f32fff7a32a	york_3d	UOY 3D Face Database	Three-dimensional face recognition: an eigensurface approach	[pdf]	2004 International Conference on Image Processing, 2004. ICIP '04.						42%	38	16	22	4	24	13
2edb87494278ad11641b6cf7a3f8996de12b8e14	qmul_grid	GRID	Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding	[pdf]	International Journal of Computer Vision	edu	Queen Mary University of London	United Kingdom	51.52472720	-0.03931035	63%	84	53	31	4	51	33
64e0690dd176a93de9d4328f6e31fc4afe1e7536	duke_mtmc	Duke MTMC	Tracking Multiple People Online and in Real Time	[pdf]	Unknown						78%	23	18	5	1	12	10
298cbc3dfbbb3a20af4eed97906650a4ea1c29e0	ferplus	FER+	Training deep networks for facial expression recognition with crowd-sourced label distribution	[pdf]	Unknown						74%	34	25	9	0	18	16
4eab317b5ac436a949849ed286baa3de2a541eef	laofiw	LAOFIW	Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings	[pdf]	Unknown						100%	2	2	0	0	2	0
b5f2846a506fc417e7da43f6a7679146d99c5e96	ucf_101	UCF101	UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild	[pdf]	CoRR						64%	999	643	356	56	628	362
16e8b0a1e8451d5f697b94c0c2b32a00abee1d52	umb	UMB	UMB-DB: A database of partially occluded 3D faces	[pdf]	2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)						66%	47	31	16	2	22	24
31b05f65405534a696a847dd19c621b7b8588263	umd_faces	UMD	UMDFaces: An annotated face dataset for training deep networks	[pdf]	2017 IEEE International Joint Conference on Biometrics (IJCB)	edu	University of Maryland	United States	39.28996850	-76.62196103	79%	42	33	9	2	30	11
8627f019882b024aef92e4eb9355c499c733e5b7	used	USED Social Event Dataset	USED: a large-scale social event detection dataset	[pdf]	Unknown	edu	University of Trento	Italy	46.06588360	11.11598940	86%	7	6	1	0	3	4
d4f1eb008eb80595bcfdac368e23ae9754e1e745	uccs	UCCS	Unconstrained Face Detection and Open-Set Face Recognition Challenge	[pdf]	2017 IEEE International Joint Conference on Biometrics (IJCB)						100%	5	5	0	0	4	1
4b4106614c1d553365bad75d7866bff0de6056ed	ufi	UFI	Unconstrained Facial Images: Database for Face Recognition Under Real-World Conditions	[pdf]	Unknown						50%	12	6	6	0	4	6
08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7	kin_face	UB KinFace	Understanding Kin Relationships in a Photo	[pdf]	IEEE Transactions on Multimedia						63%	94	59	35	1	33	61
5a4df9bef1872865f0b619ac3aacc97f49e4a035	cuhk_train_station	CUHK Train Station Dataset	Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents	[pdf]	2012 IEEE Conference on Computer Vision and Pattern Recognition	edu	Chinese University of Hong Kong	China	22.41626320	114.21093180	60%	141	84	57	4	60	75
21d9d0deed16f0ad62a4865e9acf0686f4f15492	images_of_groups	Images of Groups	Understanding images of groups of people	[pdf]	2009 IEEE Conference on Computer Vision and Pattern Recognition	edu	Carnegie Mellon University	United States	40.44416190	-79.94272826	57%	256	147	109	13	165	84
15e1af79939dbf90790b03d8aa02477783fb1d0f	duke_mtmc	Duke MTMC	Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro	[pdf]	2017 IEEE International Conference on Computer Vision (ICCV)						100%	0	0	0	0	0	0
fd8168f1c50de85bac58a8d328df0a50248b16ae	nd_2006	ND-2006	Using a Multi-Instance Enrollment Representation to Improve 3D Face Recognition	[pdf]	2007 First IEEE International Conference on Biometrics: Theory, Applications, and Systems	edu	University of Notre Dame	United States	41.70456775	-86.23822026	63%	35	22	13	3	18	15
4563b46d42079242f06567b3f2e2f7a80cb3befe	vadana	VADANA	VADANA: A dense dataset for facial image analysis	[pdf]	2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)	edu	University of Delaware	United States	39.68103280	-75.75401840	73%	15	11	4	0	5	10
70c59dc3470ae867016f6ab0e008ac8ba03774a1	vgg_faces2	VGG Face2	VGGFace2: A Dataset for Recognising Faces across Pose and Age	[pdf]	2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)						80%	83	66	17	3	61	20
01959ef569f74c286956024866c1d107099199f7	vqa	VQA	VQA: Visual Question Answering	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)						100%	0	0	0	0	0	0
b6c293f0420f7e945b5916ae44269fb53e139275	erce	ERCe	Video Synopsis by Heterogeneous Multi-source Correlation	[pdf]	2013 IEEE International Conference on Computer Vision						52%	29	15	14	2	14	13
b6c293f0420f7e945b5916ae44269fb53e139275	tisi	Times Square Intersection	Video Synopsis by Heterogeneous Multi-source Correlation	[pdf]	2013 IEEE International Conference on Computer Vision						52%	29	15	14	2	14	13
5194cbd51f9769ab25260446b4fa17204752e799	violent_flows	Violent Flows	Violent flows: Real-time detection of violent crowd behavior	[pdf]	2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops	edu	Open University of Israel	Israel	32.77824165	34.99565673	65%	88	57	31	6	45	44
026e3363b7f76b51cc711886597a44d5f1fd1de2	kitti	KITTI	Vision meets robotics: The KITTI dataset	[pdf]	I. J. Robotics Res.						60%	999	603	396	36	553	462
066000d44d6691d27202896691f08b27117918b9	psu	PSU	Vision-Based Analysis of Small Groups in Pedestrian Crowds	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence						54%	168	91	77	10	85	79
dd65f71dac86e36eecbd3ed225d016c3336b4a13	families_in_the_wild	FIW	Visual Kinship Recognition of Families in the Wild	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence	edu	University of Massachusetts Dartmouth	United States	41.62772475	-71.00724501	80%	5	4	1	0	2	3
8875ae233bc074f5cd6c4ebba447b536a7e847a5	voxceleb2	VoxCeleb2	VoxCeleb2: Deep Speaker Recognition.	[pdf]	Unknown						71%	34	24	9	2	31	2
52d7eb0fbc3522434c13cc247549f74bb9609c5d	wider_face	WIDER FACE	WIDER FACE: A Face Detection Benchmark	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)	edu	Chinese University of Hong Kong	China	22.41626320	114.21093180	67%	178	120	58	11	112	66
36bccfb2ad847096bc76777e544f305813cd8f5b	wildtrack	WildTrack	WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection	[pdf]	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition						100%	0	0	0	0	0	0
5ad4e9f947c1653c247d418f05dad758a3f9277b	wlfdb	WLFDB	WLFDB : Weakly Labeled Face Databases	[pdf]	Unknown						100%	1	1	0	0	0	1
0dc11a37cadda92886c56a6fb5191ded62099c28	stickmen_family	We Are Family Stickmen	We Are Family: Joint Pose Estimation of Multiple Persons	[pdf]	Unknown						68%	78	53	25	4	54	23
0c91808994a250d7be332400a534a9291ca3b60e	graz	Graz Pedestrian	Weak Hypotheses and Boosting for Generic Object Detection and Recognition	[pdf]	Unknown						56%	236	131	105	17	161	77
2a75f34663a60ab1b04a0049ed1d14335129e908	mmi_facial_expression	MMI Facial Expression Dataset	Web-based database for facial expression analysis	[pdf]	2005 IEEE International Conference on Multimedia and Expo						54%	464	250	214	45	282	188
9b9bf5e623cb8af7407d2d2d857bc3f1b531c182	who_goes_there	WGT	Who goes there?: approaches to mapping facial appearance diversity	[pdf]	Unknown	edu	University of Kentucky	United States	38.03337420	-84.50177580	100%	0	0	0	0	0	0
b62628ac06bbac998a3ab825324a41a11bc3a988	m2vtsdb_extended	xm2vtsdb	XM2VTSDB : The extended M2VTS database	[pdf]	Unknown						63%	864	541	323	37	493	404
010f0f4929e6a6644fb01f0e43820f91d0fad292	yfcc_100m	YFCC100M	YFCC100M: the new data in multimedia research	[pdf]	Commun. ACM	edu	Carnegie Mellon University	United States	40.44416190	-79.94272826	64%	274	176	98	23	172	100
a94cae786d515d3450d48267e12ca954aab791c4	yawdd	YawDD	YawDD: a yawning detection dataset	[pdf]	Unknown						80%	15	12	3	1	2	13

\ No newline at end of file +All Papers

All Papers

Paper ID	Megapixels Key	Megapixels Name	Report Link	PDF Link	Journal	Type	Address	Country	Lat	Lng	Coverage	Total Citations	Geocoded Citations	Unknown Citations	Empty Citations	With PDF	With DOI
3325860c0c82a93b2eac654f5324dd6a776f609e	mpii_human_pose	MPII Human Pose	2D Human Pose Estimation: New Benchmark and State of the Art Analysis	[pdf]	2014 IEEE Conference on Computer Vision and Pattern Recognition						70%	387	270	117	17	291	96
e4754afaa15b1b53e70743880484b8d0736990ff	fiw_300	300-W	300 Faces In-The-Wild Challenge: database and results	[pdf]	Image Vision Comput.	edu	Imperial College London	United Kingdom	51.49887085	-0.17560797	73%	129	94	35	6	74	55
044d9a8c61383312cdafbcc44b9d00d650b21c70	fiw_300	300-W	300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge	[pdf]	2013 IEEE International Conference on Computer Vision Workshops						81%	323	262	61	15	208	120
2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e	3dpes	3DPeS	3DPeS: 3D people dataset for surveillance and forensics	[pdf]	Unknown						62%	133	82	51	9	73	58
a40f9bfd3c45658ee8da70e1f2dfbe1f0c744d43	4dfab	4DFAB	4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications	[pdf]	CoRR						25%	4	1	3	0	2	2
31b58ced31f22eab10bd3ee2d9174e7c14c27c01	tiny_images	#N/A	80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence						57%	999	574	425	89	644	337
d08cc366a4a0192a01e9a7495af1eb5d9f9e73ae	b3d_ac	B3D(AC)	A 3-D Audio-Visual Corpus of Affective Communication	[pdf]	IEEE Transactions on Multimedia						55%	42	23	19	2	26	15
4d4bb462c9f1d4e4ab1e4aa6a75cc0bc71b38461	3dddb_unconstrained	3D Dynamic	A 3D Dynamic Database for Unconstrained Face Recognition	[pdf]	Unknown						50%	2	1	1	0	1	1
639937b3a1b8bded3f7e9a40e85bd3770016cf3c	bfm	BFM	A 3D Face Model for Pose and Illumination Invariant Face Recognition	[pdf]	2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance						57%	343	195	148	23	223	114
cc589c499dcf323fe4a143bbef0074c3e31f9b60	bu_3dfe	BU-3DFE	A 3D facial expression database for facial behavior research	[pdf]	7th International Conference on Automatic Face and Gesture Recognition (FGR06)						54%	588	316	271	44	306	282
22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2b	saivt	SAIVT SoftBio	A Database for Person Re-Identification in Multi-Camera Surveillance Networks	[pdf]	2012 International Conference on Digital Image Computing Techniques and Applications (DICTA)						58%	65	38	27	6	45	20
070de852bc6eb275d7ca3a9cdde8f6be8795d1a3	d3dfacs	D3DFACS	A FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling	[pdf]	2011 International Conference on Computer Vision						52%	50	26	24	5	31	18
563c940054e4b456661762c1ab858e6f730c3159	data_61	Data61 Pedestrian	A Multi-modal Graphical Model for Scene Analysis	[pdf]	2015 IEEE Winter Conference on Applications of Computer Vision						50%	8	4	4	0	5	3
221c18238b829c12b911706947ab38fd017acef7	rap_pedestrian	RAP	A Richly Annotated Dataset for Pedestrian Attribute Recognition	[pdf]	CoRR						69%	26	18	8	0	16	10
013909077ad843eb6df7a3e8e290cfd5575999d2	fiw_300	300-W	A Semi-automatic Methodology for Facial Landmark Annotation	[pdf]	2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops						82%	184	151	33	8	120	67
3b4ec8af470948a72a6ed37a9fd226719a874ebc	sdu_vid	SDU-VID	A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)						66%	95	63	32	6	50	45
ceb2ebef0b41e31c1a21b28c2734123900c005e2	flickr_faces	FFHQ	A Style-Based Generator Architecture for Generative Adversarial Networks	[pdf]	ArXiv						63%	156	98	56	3	142	10
6403117f9c005ae81f1e8e6d1302f4a045e3d99d	alert_airport	ALERT Airport	A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence						50%	20	10	10	0	9	11
0d3bb75852098b25d90f31d2f48fd0cb4944702b	face_scrub	FaceScrub	A data-driven approach to cleaning large face datasets	[pdf]	2014 IEEE International Conference on Image Processing (ICIP)						83%	138	114	24	0	95	41
b91f54e1581fbbf60392364323d00a0cd43e493c	bp4d_spontanous	BP4D-Spontanous	A high-resolution spontaneous 3D dynamic facial expression database	[pdf]	2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)	edu	SUNY Binghamton	United States	42.08779975	-75.97066066	53%	154	82	72	6	80	75
8b56e33f33e582f3e473dba573a16b598ed9bcdc	fei	FEI	A new ranking method for principal components analysis and its application to face image analysis	[pdf]	Image Vision Comput.						55%	169	93	76	6	69	102
2624d84503bc2f8e190e061c5480b6aa4d89277a	afew_va	AFEW-VA	AFEW-VA database for valence and arousal estimation in-the-wild	[pdf]	Image Vision Comput.						50%	18	9	9	0	12	5
2ad0ee93d029e790ebb50574f403a09854b65b7e	yale_faces	YaleFaces	Acquiring linear subspaces for face recognition under variable lighting	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence						55%	999	554	445	94	495	491
57fe081950f21ca03b5b375ae3e84b399c015861	cvc_01_barcelona	CVC-01	Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection	[pdf]	Unknown						51%	47	24	23	1	23	24
758d7e1be64cc668c59ef33ba8882c8597406e53	affectnet	AffectNet	AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild	[pdf]	CoRR						62%	37	23	14	0	25	11
47aeb3b82f54b5ae8142b4bdda7b614433e69b9a	am_fed	AM-FED	Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected "In-the-Wild"	[pdf]	2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops						46%	83	38	45	6	43	39
1be498d4bbc30c3bfd0029114c784bc2114d67c0	adience	Adience	Age and Gender Estimation of Unfiltered Faces	[pdf]	IEEE Transactions on Information Forensics and Security	edu	Open University of Israel	Israel	32.77824165	34.99565673	72%	237	171	66	3	127	100
d818568838433a6d6831adde49a58cef05e0c89f	agedb	AgeDB	AgeDB: The First Manually Collected, In-the-Wild Age Database	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)	edu	Imperial College London	United Kingdom	51.49887085	-0.17560797	94%	18	17	1	0	14	3
a74251efa970b92925b89eeef50a5e37d9281ad0	aflw	AFLW	Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization	[pdf]	2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)	edu	TU Graz	Austria	47.07071400	15.43950400	70%	318	222	96	27	211	107
2ce2560cf59db59ce313bbeb004e8ce55c5ce928	texas_3dfrd	Texas 3DFRD	Anthropometric 3D Face Recognition	[pdf]	International Journal of Computer Vision						63%	91	57	34	5	60	31
633c851ebf625ad7abdda2324e9de093cf623141	appa_real	APPA-REAL	Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database	[pdf]	2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)						70%	10	7	3	0	8	3
0df0d1adea39a5bef318b74faa37de7f3e00b452	mpii_gaze	MPIIGaze	Appearance-based gaze estimation in the wild	[pdf]	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						74%	149	110	39	3	94	54
759a3b3821d9f0e08e0b0a62c8b693230afc3f8d	pubfig	PubFig	Attribute and simile classifiers for face verification	[pdf]	2009 IEEE 12th International Conference on Computer Vision						64%	914	589	325	46	586	316
faf40ce28857aedf183e193486f5b4b0a8c478a2	iit_dehli_ear	IIT Dehli Ear	Automated Human Identification Using Ear Imaging	[pdf]	Unknown						50%	80	40	40	6	35	44
2160788824c4c29ffe213b2cbeb3f52972d73f37	3d_rma	3D-RMA	Automatic 3D face authentication	[pdf]	Image Vision Comput.						54%	100	54	46	8	63	36
213a579af9e4f57f071b884aa872651372b661fd	bbc_pose	BBC Pose	Automatic and Efficient Human Pose Estimation for Sign Language Videos	[pdf]	International Journal of Computer Vision						69%	26	18	8	0	16	11
fcc6fe6007c322641796cb8792718641856a22a7	miw	MIW	Automatic facial makeup detection with application in face recognition	[pdf]	2013 International Conference on Biometrics (ICB)	edu	West Virginia University	United States	39.65404635	-79.96475355	71%	49	35	14	1	19	29
fcc6fe6007c322641796cb8792718641856a22a7	youtube_makeup	YMU	Automatic facial makeup detection with application in face recognition	[pdf]	2013 International Conference on Biometrics (ICB)	edu	West Virginia University	United States	39.65404635	-79.96475355	71%	49	35	14	1	19	29
0a85bdff552615643dd74646ac881862a7c7072d	pipa	PIPA	Beyond frontal faces: Improving Person Recognition using multiple cues	[pdf]	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)	company	Facebook	United States	37.39367170	-122.08072620	83%	69	57	11	2	49	18
2acf7e58f0a526b957be2099c10aab693f795973	bosphorus	The Bosphorus	Bosphorus Database for 3D Face Analysis	[pdf]	Unknown						57%	352	200	152	17	162	188
37d6f0eb074d207b53885bd2eb78ccc8a04be597	vmu	VMU	Can facial cosmetics affect the matching accuracy of face recognition systems?	[pdf]	2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)	edu	West Virginia University	United States	39.65404635	-79.96475355	62%	53	33	20	0	19	31
37d6f0eb074d207b53885bd2eb78ccc8a04be597	youtube_makeup	YMU	Can facial cosmetics affect the matching accuracy of face recognition systems?	[pdf]	2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)	edu	West Virginia University	United States	39.65404635	-79.96475355	62%	53	33	20	0	19	31
8d5998cd984e7cce307da7d46f155f9db99c6590	chalearn	ChaLearn	ChaLearn looking at people: A review of events and resources	[pdf]	2017 International Joint Conference on Neural Networks (IJCNN)						69%	13	9	4	1	8	4
2bf8541199728262f78d4dced6fb91479b39b738	clothing_co_parsing	CCP	Clothing Co-parsing by Joint Image Segmentation and Labeling	[pdf]	2014 IEEE Conference on Computer Vision and Pattern Recognition						70%	60	42	18	0	34	28
22ad2c8c0f4d6aa4328b38d894b814ec22579761	gallagher	Gallagher	Clothing cosegmentation for recognizing people	[pdf]	2008 IEEE Conference on Computer Vision and Pattern Recognition	edu	Carnegie Mellon University	United States	40.44416190	-79.94272826	65%	178	116	62	7	100	86
4b1d23d17476fcf78f4cbadf69fb130b1aa627c0	leeds_sports_pose	Leeds Sports Pose	Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation	[pdf]	Unknown						76%	285	218	67	5	197	93
4b1d23d17476fcf78f4cbadf69fb130b1aa627c0	stickmen_buffy	Buffy Stickmen	Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation	[pdf]	Unknown						76%	285	218	67	5	197	93
45c31cde87258414f33412b3b12fc5bec7cb3ba9	jaffe	JAFFE	Coding Facial Expressions with Gabor Wavelets	[pdf]	Unknown						57%	899	509	390	51	431	451
b1f4423c227fa37b9680787be38857069247a307	afew_va	AFEW-VA	Collecting Large, Richly Annotated Facial-Expression Databases from Movies	[pdf]	IEEE MultiMedia	edu	Australian National University	Australia	-35.27769990	149.11852700	64%	181	116	65	8	87	97
7f4040b482d16354d5938c1d1b926b544652bf5b	nova_emotions	Novaemötions Dataset	Competitive affective gaming: winning with a smile	[pdf]	Unknown	edu	Universidade NOVA de Lisboa, Caparica, Portugal	Portugal	38.66096400	-9.20581300	78%	9	7	2	0	5	4
079a0a3bf5200994e1f972b1b9197bf2f90e87d4	mit_cbcl	MIT CBCL	Component-Based Face Recognition with 3D Morphable Models	[pdf]	2004 Conference on Computer Vision and Pattern Recognition Workshop						100%	0	0	0	0	0	0
23fc83c8cfff14a16df7ca497661264fc54ed746	cohn_kanade	CK	Comprehensive Database for Facial Expression Analysis	[pdf]	Unknown						55%	999	553	446	69	540	439
09d78009687bec46e70efcf39d4612822e61cb8c	raid	43	Consistent Re-identification in a Camera Network	[pdf]	Unknown						71%	49	35	14	3	34	13
0ceda9dae8b9f322df65ca2ef02caca9758aec6f	casablanca	Casablanca	Context-Aware CNNs for Person Head Detection	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)						64%	33	21	12	1	23	11
0ceda9dae8b9f322df65ca2ef02caca9758aec6f	hollywood_headset	HollywoodHeads	Context-Aware CNNs for Person Head Detection	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)						64%	33	21	12	1	23	11
c06b13d0ec3f5c43e2782cd22542588e233733c3	nova_emotions	Novaemötions Dataset	Crowdsourcing facial expressions for affective-interaction	[pdf]	Computer Vision and Image Understanding						100%	1	1	0	0	1	0
8355d095d3534ef511a9af68a3b2893339e3f96b	imdb_wiki	IMDB-Wiki	DEX: Deep EXpectation of Apparent Age from a Single Image	[pdf]	2015 IEEE International Conference on Computer Vision Workshop (ICCVW)						79%	122	96	26	4	75	48
5a5f0287484f0d480fed1ce585dbf729586f0edc	disfa	DISFA	DISFA: A Spontaneous Facial Action Intensity Database	[pdf]	IEEE Transactions on Affective Computing	edu	University of Denver	United States	39.67665410	-104.96220300	55%	184	102	82	17	96	89
10195a163ab6348eef37213a46f60a3d87f289c5	imdb_wiki	IMDB-Wiki	Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks	[pdf]	International Journal of Computer Vision	edu	ETH Zurich	Switzerland	47.37631300	8.54766990	73%	145	106	39	9	93	51
162ea969d1929ed180cc6de9f0bf116993ff6e06	vgg_faces	VGG Face	Deep Face Recognition	[pdf]	Unknown						66%	999	657	342	48	558	429
6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4	celeba	CelebA	Deep Learning Face Attributes in the Wild	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)	edu	Chinese University of Hong Kong	China	22.41626320	114.21093180	58%	919	531	387	61	694	201
18010284894ed0edcca74e5bf768ee2e15ef7841	deep_fashion	DeepFashion	DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						64%	176	113	63	2	113	62
6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3	cuhk_campus_03	CUHK03 Campus	DeepReID: Deep Filter Pairing Neural Network for Person Re-identification	[pdf]	2014 IEEE Conference on Computer Vision and Pattern Recognition						73%	568	413	155	19	320	235
13f06b08f371ba8b5d31c3e288b4deb61335b462	eth_andreas_ess	ETHZ Pedestrian	Depth and Appearance for Mobile Scene Analysis	[pdf]	2007 IEEE 11th International Conference on Computer Vision	edu	ETH Zurich	Switzerland	47.37631300	8.54766990	63%	324	205	119	26	193	127
4946ba10a4d5a7d0a38372f23e6622bd347ae273	coco_action	COCO-a	Describing Common Human Visual Actions in Images	[pdf]	Unknown						68%	25	17	8	0	23	2
7808937b46acad36e43c30ae4e9f3fd57462853d	bpad	BPAD	Describing people: A poselet-based approach to attribute classification	[pdf]	2011 International Conference on Computer Vision						61%	230	141	89	14	163	66
d3200d49a19a4a4e4e9745ee39649b65d80c834b	scut_head	SCUT HEAD	Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture	[pdf]	2018 24th International Conference on Pattern Recognition (ICPR)						100%	0	0	0	0	0	0
9cc8cf0c7d7fa7607659921b6ff657e17e135ecc	mafa	MAsked FAces	Detecting Masked Faces in the Wild with LLE-CNNs	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						80%	5	4	1	0	4	1
56ae6d94fc6097ec4ca861f0daa87941d1c10b70	cmdp	CMDP	Distance Estimation of an Unknown Person from a Portrait	[pdf]	Unknown						44%	9	4	5	0	6	3
84fe5b4ac805af63206012d29523a1e033bc827e	awe_ears	AWE Ears	Ear Recognition: More Than a Survey	[pdf]	Neurocomputing						77%	26	20	6	0	10	16
133f01aec1534604d184d56de866a4bd531dac87	lfw	LFW	Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence						61%	183	111	72	12	103	77
c900e0ad4c95948baaf0acd8449fde26f9b4952a	emotio_net	EmotioNet Database	EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						53%	86	46	40	7	54	29
2161f6b7ee3c0acc81603b01dc0df689683577b9	large_scale_person_search	Large Scale Person Search	End-to-End Deep Learning for Person Search	[pdf]	CoRR						70%	46	32	14	0	27	16
1bd1645a629f1b612960ab9bba276afd4cf7c666	brainwash	Brainwash	End-to-End People Detection in Crowded Scenes	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)	edu	Stanford University	United States	37.43131385	-122.16936535	69%	67	46	20	2	42	23
6273b3491e94ea4dd1ce42b791d77bdc96ee73a8	viper	VIPeR	Evaluating Appearance Models for Recognition, Reacquisition, and Tracking	[pdf]	Unknown	edu	University of California, Santa Cruz	United States	36.99158470	-122.05827710	67%	624	415	209	33	342	276
2258e01865367018ed6f4262c880df85b94959f8	mot	MOT	Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics	[pdf]	EURASIP J. Image and Video Processing						58%	632	366	264	44	358	264
9e5378e7b336c89735d3bb15cf67eff96f86d39a	precarious	Precarious	Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						43%	14	6	8	0	12	1
35b0331dfcd2897abd5749b49ff5e2b8ba0f7a62	coco_qa	COCO QA	Exploring Models and Data for Image Question Answering	[pdf]	Unknown						61%	206	126	80	11	162	39
2cd7821fcf5fae53a185624f7eeda007434ae037	geofaces	GeoFaces	Exploring the geo-dependence of human face appearance	[pdf]	IEEE Winter Conference on Applications of Computer Vision						88%	8	7	1	0	5	3
2cd7821fcf5fae53a185624f7eeda007434ae037	geofaces	GeoFaces	Exploring the geo-dependence of human face appearance	[pdf]	IEEE Winter Conference on Applications of Computer Vision						88%	8	7	1	0	5	3
75da1df4ed319926c544eefe17ec8d720feef8c0	fddb	FDDB	FDDB: A benchmark for face detection in unconstrained settings	[pdf]	Unknown						65%	380	248	132	16	202	164
31de9b3dd6106ce6eec9a35991b2b9083395fd0b	feret	FERET	FERET ( Face Recognition Technology ) Recognition Algorithm Development and Test Results	[pdf]	Unknown						52%	75	39	36	5	54	20
0e986f51fe45b00633de9fd0c94d082d2be51406	afw	AFW	Face detection, pose estimation, and landmark localization in the wild	[pdf]	2012 IEEE Conference on Computer Vision and Pattern Recognition						73%	999	725	274	35	576	422
560e0e58d0059259ddf86fcec1fa7975dee6a868	youtube_faces	YouTubeFaces	Face recognition in unconstrained videos with matched background similarity	[pdf]	CVPR 2011	edu	Tel Aviv University	Israel	32.11198890	34.80459702	67%	509	343	165	23	294	216
670637d0303a863c1548d5b19f705860a23e285c	face_tracer	FaceTracer	Face swapping: automatically replacing faces in photographs	[pdf]	Unknown						100%	0	0	0	0	0	0
6204776d31359d129a582057c2d788a14f8aadeb	youtube_celebrities	YouTube Celebrities	Face tracking and recognition with visual constraints in real-world videos	[pdf]	2008 IEEE Conference on Computer Vision and Pattern Recognition	edu	Rutgers University	United States	40.47913175	-74.43168868	57%	267	152	114	11	125	121
4c170a0dcc8de75587dae21ca508dab2f9343974	face_tracer	FaceTracer	FaceTracer: A Search Engine for Large Collections of Images with Faces	[pdf]	Unknown						65%	225	146	79	17	146	77
7ebb153704706e457ab57b432793d2b6e5d12592	vgg_celebs_in_places	CIP	Faces in Places: compound query retrieval	[pdf]	Unknown						100%	5	5	0	0	3	2
0ab7cff2ccda7269b73ff6efd9d37e1318f7db25	ibm_dif	IBM Diversity in Faces	Facial Coding Scheme Reference 1 Craniofacial Distances	[pdf]	Unknown						100%	0	0	0	0	0	0
8a3c5507237957d013a0fe0f082cab7f757af6ee	mafl	MAFL	Facial Landmark Detection by Deep Multi-task Learning	[pdf]	Unknown						71%	407	287	120	16	252	153
8a3c5507237957d013a0fe0f082cab7f757af6ee	mtfl	MTFL	Facial Landmark Detection by Deep Multi-task Learning	[pdf]	Unknown						71%	407	287	120	16	252	153
4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7	deep_fashion	DeepFashion	Fashion Landmark Detection in the Wild	[pdf]	Unknown						77%	26	20	6	1	16	10
060820f110a72cbf02c14a6d1085bd6e1d994f6a	caltech_crp	Caltech CRP	Fine-grained classification of pedestrians in video: Benchmark and state of the art	[pdf]	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)	edu	California Institute of Technology	United States	34.13710185	-118.12527487	47%	17	8	9	0	9	8
45e616093a92e5f1e61a7c6037d5f637aa8964af	malf	MALF	Fine-grained evaluation on face detection in the wild	[pdf]	2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)						71%	17	12	5	0	12	5
1aad2da473888cb7ebc1bfaa15bfa0f1502ce005	jpl_pose	JPL-Interaction dataset	First-Person Activity Recognition: What Are They Doing to Me?	[pdf]	2013 IEEE Conference on Computer Vision and Pattern Recognition						67%	148	99	49	7	105	43
7b92d1e53cc87f7a4256695de590098a2f30261e	appa_real	APPA-REAL	From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation	[pdf]	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)						100%	0	0	0	0	0	0
774cbb45968607a027ae4729077734db000a1ec5	urban_tribes	Urban Tribes	From Bikers to Surfers: Visual Recognition of Urban Tribes	[pdf]	Unknown						67%	18	12	6	1	12	6
22f656d0f8426c84a33a267977f511f127bfd7f3	expw	ExpW	From Facial Expression Recognition to Interpersonal Relation Prediction	[pdf]	International Journal of Computer Vision						55%	11	6	5	0	5	4
18c72175ddbb7d5956d180b65a96005c100f6014	yale_faces	YaleFaces	From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose	[pdf]	IEEE Trans. Pattern Anal. Mach. Intell.						56%	999	562	437	66	498	462
06f02199690961ba52997cde1527e714d2b3bf8f	columbia_gaze	Columbia Gaze	Gaze locking: passive eye contact detection for human-object interaction	[pdf]	Unknown	edu	Columbia University	United States	40.84198360	-73.94368971	76%	79	60	19	0	49	34
18858cc936947fc96b5c06bbe3c6c2faa5614540	pilot_parliament	PPB	Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification	[pdf]	Unknown						53%	59	31	28	0	47	10
2eb84aaba316b095d4bb51da1a3e4365bbf9ab1d	kin_face	UB KinFace	Genealogical face recognition based on UB KinFace database	[pdf]	CVPR 2011 WORKSHOPS	edu	SUNY Buffalo	United States	42.93362780	-78.88394479	55%	31	17	14	0	11	21
2eed184680edcdec8a3b605ad1a3ba8e8f7cc2e9	graz	Graz Pedestrian	Generic object recognition with boosting	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence	edu	TU Graz	Austria	47.07071400	15.43950400	53%	293	155	138	16	195	97
17b46e2dad927836c689d6787ddb3387c6159ece	geofaces	GeoFaces	GeoFaceExplorer: exploring the geo-dependence of facial attributes	[pdf]	Unknown						100%	2	2	0	0	1	1
bd88bb2e4f351352d88ee7375af834360e223498	hda_plus	HDA+	HDA dataset-DRAFT 1 A Multi-camera video data set for research on High-Definition surveillance	[pdf]	Unknown						0%	2	0	2	0	1	2
a8d0b149c2eadaa02204d3e4356fbc8eccf3b315	hi4d_adsip	Hi4D-ADSIP	Hi4D-ADSIP 3-D dynamic facial articulation database	[pdf]	Image Vision Comput.						60%	15	9	6	1	4	11
2d45cfd838016a6e39f6b766ffe85acd649440c7	mcgill	McGill Real World	Hierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos	[pdf]	Computer Vision and Image Understanding						75%	8	6	2	0	5	3
3cd40bfa1ff193a96bde0207e5140a399476466c	tvhi	TVHI	High Five: Recognising human interactions in TV shows	[pdf]	Unknown						57%	98	56	42	10	66	28
04c2cda00e5536f4b1508cbd80041e9552880e67	hipsterwars	Hipsterwars	Hipster Wars: Discovering Elements of Fashion Styles	[pdf]	Unknown						64%	95	61	34	4	59	35
10d6b12fa07c7c8d6c8c3f42c7f1c061c131d4c5	inria_person	INRIA Pedestrian	Histograms of oriented gradients for human detection	[pdf]	2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)	edu	INRIA Rhone-Alps, Montbonnot, France	France	45.21788600	5.80736900	57%	999	574	425	41	419	509
041d3eedf5e45ce5c5229f0181c5c576ed1fafd6	ucf_selfie	UCF Selfie	How to Take a Good Selfie?	[pdf]	Unknown						73%	11	8	3	0	7	5
44d23df380af207f5ac5b41459c722c87283e1eb	wider_attribute	WIDER Attribute	Human Attribute Recognition by Deep Hierarchical Contexts	[pdf]	Unknown						72%	18	13	5	0	14	4
44484d2866f222bbb9b6b0870890f9eea1ffb2d0	cuhk_campus_03	CUHK03 Campus	Human Reidentification with Transferred Metric Learning	[pdf]	Unknown						69%	280	194	86	9	139	137
f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44	pa_100k	PA-100K	HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis	[pdf]	2017 IEEE International Conference on Computer Vision (ICCV)						76%	55	42	13	0	36	17
57178b36c21fd7f4529ac6748614bb3374714e91	ijb_c	IJB-C	IARPA Janus Benchmark - C: Face Dataset and Protocol	[pdf]	2018 International Conference on Biometrics (ICB)						79%	14	11	3	0	12	1
0cb2dd5f178e3a297a0c33068961018659d0f443	ijb_b	IJB-B	IARPA Janus Benchmark-B Face Dataset	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)	edu	Michigan State University	United States	42.71856800	-84.47791571	63%	35	22	13	3	25	8
0297448f3ed948e136bb06ceff10eccb34e5bb77	ilids_mcts	i-LIDS Multiple-Camera	Imagery Library for Intelligent Detection Systems (i-LIDS); A Standard for Testing Video Based Detection Systems	[pdf]	Proceedings 40th Annual 2006 International Carnahan Conference on Security Technology						57%	35	20	15	2	21	14
7f23a4bb0c777dd72cca7665a5f370ac7980217e	duke_mtmc	Duke MTMC	Improving Person Re-identification by Attribute and Identity Learning	[pdf]	CoRR						85%	87	74	13	0	43	42
55c40cbcf49a0225e72d911d762c27bb1c2d14aa	ifad	IFAD	Indian Face Age Database: A Database for Face Recognition with Age Variation	[pdf]	Unknown						50%	2	1	1	0	2	0
ca3e88d87e1344d076c964ea89d91a75c417f5ee	imfdb	IMFDB	Indian Movie Face Database: A benchmark for face recognition under wide variations	[pdf]	2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)	edu	BVBCET, Hubli, India	India	15.36883320	75.12137960	65%	17	11	6	0	11	5
95f12d27c3b4914e0668a268360948bce92f7db3	helen	Helen	Interactive Facial Feature Localization	[pdf]	Unknown	company	Adobe	United States	37.33077030	-121.89409510	83%	440	364	76	7	250	182
ad01687649d95cd5b56d7399a9603c4b8e2217d7	mrp_drone	MRP Drone	Investigating Open-World Person Re-identification Using a Drone	[pdf]	Unknown						43%	7	3	4	1	5	2
2f43b614607163abf41dfe5d17ef6749a1b61304	hrt_transgender	HRT Transgender	Investigating the Periocular-Based Face Recognition Across Gender Transformation	[pdf]	IEEE Transactions on Information Forensics and Security	edu	University of North Carolina at Wilmington	United States	34.22498270	-77.86907744	77%	13	10	3	0	6	8
066d71fcd997033dce4ca58df924397dfe0b5fd1	ifdb	IFDB	Iranian Face Database and Evaluation with a New Detection Algorithm	[pdf]	Unknown						100%	0	0	0	0	0	0
b71d1aa90dcbe3638888725314c0d56640c1fef1	ifdb	IFDB	Iranian Face Database with age, pose and expression	[pdf]	2007 International Conference on Machine Vision	edu	Islamic Azad University	Iran	34.84529990	48.55962120	48%	23	11	12	2	14	9
137aa2f891d474fce1e7a1d1e9b3aefe21e22b34	hrt_transgender	HRT Transgender	Is the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset	[pdf]	2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)						57%	7	4	3	1	3	5
0b440695c822a8e35184fb2f60dcdaa8a6de84ae	kinectface	KinectFaceDB	KinectFaceDB: A Kinect Database for Face Recognition	[pdf]	IEEE Transactions on Systems, Man, and Cybernetics: Systems	edu	University of North Carolina at Chapel Hill	United States	35.91139710	-79.05045290	61%	82	50	32	6	28	52
4793f11fbca4a7dba898b9fff68f70d868e2497c	kin_face	UB KinFace	Kinship Verification through Transfer Learning	[pdf]	Unknown						58%	71	41	30	2	29	42
2d3482dcff69c7417c7b933f22de606a0e8e42d4	lfw	LFW	Labeled Faces in the Wild : Updates and New Reporting Procedures	[pdf]	Unknown	edu	University of Massachusetts	United States	42.38897850	-72.52869870	69%	123	85	38	3	71	51
370b5757a5379b15e30d619e4d3fb9e8e13f3256	lfw	LFW	Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments	[pdf]	Unknown						64%	999	637	362	58	598	382
7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22	lfw	LFW	Labeled Faces in the Wild: A Survey	[pdf]	Unknown	edu	Stevens Institute of Technology	United States	40.74225200	-74.02709490	64%	109	70	39	7	66	43
0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e	lag	LAG	Large age-gap face verification by feature injection in deep networks	[pdf]	Pattern Recognition Letters						71%	7	5	2	0	3	4
07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1	uccs	UCCS	Large scale unconstrained open set face database	[pdf]	2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)	company	Securics Inc., Colorado Springs, CO	United States	38.83388160	-104.82136340	83%	6	5	1	0	4	2
4af89578ac237278be310f7660a408b03f12d603	geofaces	GeoFaces	Large-scale geo-facial image analysis	[pdf]	EURASIP J. Image and Video Processing						100%	6	6	0	0	4	2
a0fd85b3400c7b3e11122f44dc5870ae2de9009a	mafl	MAFL	Learning Deep Representation for Face Alignment with Auxiliary Attributes	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence	edu	University of Hong Kong	China	22.20814690	114.25964115	73%	108	79	29	7	66	44
a0fd85b3400c7b3e11122f44dc5870ae2de9009a	mtfl	MTFL	Learning Deep Representation for Face Alignment with Auxiliary Attributes	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence	edu	University of Hong Kong	China	22.20814690	114.25964115	73%	108	79	29	7	66	44
853bd61bc48a431b9b1c7cab10c603830c488e39	casia_webface	CASIA Webface	Learning Face Representation from Scratch	[pdf]	CoRR	edu	Chinese Academy of Sciences	China	40.00447950	116.37023800	72%	476	344	132	19	290	182
2a171f8d14b6b8735001a11c217af9587d095848	social_relation	Social Relation	Learning Social Relation Traits from Face Images	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)						61%	23	14	9	4	16	7
4e4746094bf60ee83e40d8597a6191e463b57f76	leeds_sports_pose_extended	Leeds Sports Pose Extended	Learning effective human pose estimation from inaccurate annotation	[pdf]	CVPR 2011	edu	University of Leeds	United Kingdom	53.80387185	-1.55245712	76%	169	128	41	6	108	65
287ddcb3db5562235d83aee318f318b8d5e43fb1	erce	ERCe	Learning from Multiple Sources for Video Summarisation	[pdf]	International Journal of Computer Vision						57%	7	4	3	0	4	3
287ddcb3db5562235d83aee318f318b8d5e43fb1	tisi	Times Square Intersection	Learning from Multiple Sources for Video Summarisation	[pdf]	International Journal of Computer Vision						57%	7	4	3	0	4	3
5981e6479c3fd4e31644db35d236bfb84ae46514	mot	MOT	Learning to associate: HybridBoosted multi-target tracker for crowded scene	[pdf]	2009 IEEE Conference on Computer Vision and Pattern Recognition	edu	University of Southern California	United States	34.02241490	-118.28634407	61%	326	200	125	22	190	137
6dd0597f8513dc100cd0bc1b493768cde45098a9	stickmen_buffy	Buffy Stickmen	Learning to parse images of articulated bodies	[pdf]	Unknown						64%	369	237	131	29	237	131
6dd0597f8513dc100cd0bc1b493768cde45098a9	stickmen_pascal	Stickmen PASCAL	Learning to parse images of articulated bodies	[pdf]	Unknown						64%	369	237	131	29	237	131
6dd0597f8513dc100cd0bc1b493768cde45098a9	stickmen_pascal	Stickmen PASCAL	Learning to parse images of articulated bodies	[pdf]	Unknown						64%	369	237	131	29	237	131
15af83373274f4b4c5976c5f384ea0a5c124b287	megaface	MegaFace	Level Playing Field for Million Scale Face Recognition	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						64%	64	41	23	5	44	19
15af83373274f4b4c5976c5f384ea0a5c124b287	megaface	MegaFace	Level Playing Field for Million Scale Face Recognition	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						64%	64	41	23	5	44	19
46a01565e6afe7c074affb752e7069ee3bf2e4ef	sdu_vid	SDU-VID	Local Descriptors Encoded by Fisher Vectors for Person Re-identification	[pdf]	Unknown						67%	197	132	65	15	108	88
140438a77a771a8fb656b39a78ff488066eb6b50	lfpw	LFPW	Localizing Parts of Faces Using a Consensus of Exemplars	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence						100%	0	0	0	0	0	0
38b55d95189c5e69cf4ab45098a48fba407609b4	cuhk_campus_03	CUHK03 Campus	Locally Aligned Feature Transforms across Views	[pdf]	2013 IEEE Conference on Computer Vision and Pattern Recognition						64%	258	164	94	15	136	117
8990cdce3f917dad622e43e033db686b354d057c	tiny_faces	TinyFace	Low-Resolution Face Recognition	[pdf]	CoRR						100%	0	0	0	0	0	0
c0387e788a52f10bf35d4d50659cfa515d89fbec	mars	MARS	MARS: A Video Benchmark for Large-Scale Person Re-Identification	[pdf]	Unknown						68%	168	115	53	4	97	69
9055b155cbabdce3b98e16e5ac9c0edf00f9552f	morph	MORPH Commercial	MORPH: a longitudinal image database of normal adult age-progression	[pdf]	7th International Conference on Automatic Face and Gesture Recognition (FGR06)	edu	North Carolina University	United States	34.22398690	-77.87013250	59%	437	259	177	22	228	203
9055b155cbabdce3b98e16e5ac9c0edf00f9552f	morph_nc	MORPH-II	MORPH: a longitudinal image database of normal adult age-progression	[pdf]	7th International Conference on Automatic Face and Gesture Recognition (FGR06)	edu	North Carolina University	United States	34.22398690	-77.87013250	59%	437	259	177	22	228	203
291265db88023e92bb8c8e6390438e5da148e8f5	msceleb	MsCeleb	MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition	[pdf]	Unknown	company	Microsoft	United States	47.64233180	-122.13693020	79%	180	143	37	8	120	59
3dc3f0b64ef80f573e3a5f96e456e52ee980b877	georgia_tech_face_database	Georgia Tech Face	Maximum Likelihood Training of the Embedded HMM for Face Detection and Recognition	[pdf]	Unknown						54%	67	36	31	4	29	28
e58dd160a76349d46f881bd6ddbc2921f08d1050	gfw	Grouping Face in the Wild	Merge or Not? Learning to Group Faces via Imitation Learning	[pdf]	Unknown						100%	2	2	0	0	2	0
5753b2b5e442eaa3be066daa4a2ca8d8a0bb1725	fpoq	50 People One Question	Merging Pose Estimates Across Space and Time	[pdf]	Unknown						81%	16	13	3	0	13	4
5e0f8c355a37a5a89351c02f174e7a5ddcb98683	coco	COCO	Microsoft COCO: Common Objects in Context	[pdf]	Unknown						61%	999	610	389	25	722	259
41976ebc8ab76d9a6861487c97cc7fcbe3b6015f	moments_in_time	Moments in Time	Moments in Time Dataset: one million videos for event understanding	[pdf]	CoRR	edu	Columbia University	United States	40.84198360	-73.94368971	76%	29	22	7	2	27	2
436f798d1a4e54e5947c1e7d7375c31b2bdb4064	tud_multiview	TUD-Multiview	Monocular 3D pose estimation and tracking by detection	[pdf]	2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition	edu	TU Darmstadt	Germany	49.87482770	8.65632810	60%	311	188	123	33	208	105
436f798d1a4e54e5947c1e7d7375c31b2bdb4064	tud_stadtmitte	TUD-Stadtmitte	Monocular 3D pose estimation and tracking by detection	[pdf]	2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition	edu	TU Darmstadt	Germany	49.87482770	8.65632810	60%	311	188	123	33	208	105
3b5b6d19d4733ab606c39c69a889f9e67967f151	qmul_grid	GRID	Multi-camera activity correlation analysis	[pdf]	2009 IEEE Conference on Computer Vision and Pattern Recognition	edu	Queen Mary University of London	United Kingdom	51.52472720	-0.03931035	69%	142	98	44	7	77	64
6ad5a38df8dd4cdddd74f31996ce096d41219f72	tud_brussels	TUD-Brussels	Multi-cue onboard pedestrian detection	[pdf]	2009 IEEE Conference on Computer Vision and Pattern Recognition						100%	0	0	0	0	0	0
6ad5a38df8dd4cdddd74f31996ce096d41219f72	tud_motionpairs	TUD-Motionparis	Multi-cue onboard pedestrian detection	[pdf]	2009 IEEE Conference on Computer Vision and Pattern Recognition						100%	0	0	0	0	0	0
32c801cb7fbeb742edfd94cccfca4934baec71da	ucf_crowd	UCF-CC-50	Multi-source Multi-scale Counting in Extremely Dense Crowd Images	[pdf]	2013 IEEE Conference on Computer Vision and Pattern Recognition						76%	148	113	35	3	80	65
1e3df3ca8feab0b36fd293fe689f93bb2aaac591	immediacy	Immediacy	Multi-task Recurrent Neural Network for Immediacy Prediction	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)						62%	26	16	10	2	21	6
2b926b3586399d028b46315d7d9fb9d879e4f79c	frav3d	FRAV3D	Multimodal 2D, 2.5D & 3D Face Verification	[pdf]	2006 International Conference on Image Processing	edu	Universidad Rey Juan Carlos, Spain	Spain	40.33586610	-3.87694320	57%	14	8	6	0	2	12
53ae38a6bb2b21b42bac4f0c4c8ed1f9fa02f9d4	bp4d_plus	BP4D+	Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						55%	42	23	19	0	17	26
2fda164863a06a92d3a910b96eef927269aeb730	names_and_faces	News Dataset	Names and faces in the news	[pdf]	Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.						100%	0	0	0	0	0	0
4156b7e88f2e0ab0a7c095b9bab199ae2b23bd06	distance_nighttime	Long Distance Heterogeneous Face	Nighttime Face Recognition at Long Distance: Cross-Distance and Cross-Spectral Matching	[pdf]	Unknown						50%	22	11	11	3	11	10
3394168ff0719b03ff65bcea35336a76b21fe5e4	penn_fudan	Penn Fudan	Object Detection Combining Recognition and Segmentation	[pdf]	Unknown						61%	105	64	41	9	58	43
12ad3b5bbbf407f8e54ea692c07633d1a867c566	graz	Graz Pedestrian	Object recognition using segmentation for feature detection	[pdf]	Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.	edu	Inst. of Comput. Sci., Univ. of Leoben, Austria	Austria	47.38473720	15.09302010	100%	0	0	0	0	0	0
4f93cd09785c6e77bf4bc5a788e079df524c8d21	soton	SOTON HiD	On a Large Sequence-Based Human Gait Database	[pdf]	Unknown						63%	150	95	55	17	103	51
6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c	afad	AFAD	Ordinal Regression with Multiple Output CNN for Age Estimation	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						56%	78	44	34	8	44	31
a7fe834a0af614ce6b50dc093132b031dd9a856b	market_1501	Market 1501	Orientation Driven Bag of Appearances for Person Re-identification	[pdf]	CoRR						43%	7	3	4	0	4	4
a7fe834a0af614ce6b50dc093132b031dd9a856b	pku_reid	PKU-Reid	Orientation Driven Bag of Appearances for Person Re-identification	[pdf]	CoRR						43%	7	3	4	0	4	4
18ae7c9a4bbc832b8b14bc4122070d7939f5e00e	frgc	FRGC	Overview of the face recognition grand challenge	[pdf]	2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)	edu	NIST	United States	39.14004000	-77.21850600	57%	999	570	428	84	549	442
22909dd19a0ec3b6065334cb5be5392cb24d839d	pets	PETS 2017	PETS 2017: Dataset and Challenge	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)						44%	9	4	5	0	1	8
56ffa7d906b08d02d6d5a12c7377a57e24ef3391	unbc_shoulder_pain	UNBC-McMaster Pain	Painful data: The UNBC-McMaster shoulder pain expression archive database	[pdf]	Face and Gesture 2011	edu	Carnegie Mellon University	United States	40.44416190	-79.94272826	56%	189	105	84	21	108	78
55206f0b5f57ce17358999145506cd01e570358c	orl	ORL	Parameterisation of a stochastic model for human face identification	[pdf]	Unknown						50%	999	501	498	94	543	427
0486214fb58ee9a04edfe7d6a74c6d0f661a7668	chokepoint	ChokePoint	Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition	[pdf]	CVPR 2011 WORKSHOPS						61%	138	84	54	6	76	63
488e475eeb3bb39a145f23ede197cd3620f1d98a	apis	APiS1.0	Pedestrian Attribute Classification in Surveillance: Database and Evaluation	[pdf]	2013 IEEE International Conference on Computer Vision Workshops						71%	28	20	8	0	13	15
488e475eeb3bb39a145f23ede197cd3620f1d98a	svs	SVS	Pedestrian Attribute Classification in Surveillance: Database and Evaluation	[pdf]	2013 IEEE International Conference on Computer Vision Workshops						71%	28	20	8	0	13	15
2a4bbee0b4cf52d5aadbbc662164f7efba89566c	peta	PETA	Pedestrian Attribute Recognition At Far Distance	[pdf]	Unknown						75%	88	66	22	1	50	36
f72f6a45ee240cc99296a287ff725aaa7e7ebb35	caltech_pedestrians	Caltech Pedestrians	Pedestrian Detection: An Evaluation of the State of the Art	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence	edu	California Institute of Technology	United States	34.13710185	-118.12527487	60%	999	602	397	68	527	466
1dc35905a1deff8bc74688f2d7e2f48fd2273275	caltech_pedestrians	Caltech Pedestrians	Pedestrian detection: A benchmark	[pdf]	2009 IEEE Conference on Computer Vision and Pattern Recognition						100%	0	0	0	0	0	0
3316521a5527c7700af8ae6aef32a79a8b83672c	tud_campus	TUD-Campus	People-tracking-by-detection and people-detection-by-tracking	[pdf]	2008 IEEE Conference on Computer Vision and Pattern Recognition						60%	545	325	219	37	330	218
3316521a5527c7700af8ae6aef32a79a8b83672c	tud_crossing	TUD-Crossing	People-tracking-by-detection and people-detection-by-tracking	[pdf]	2008 IEEE Conference on Computer Vision and Pattern Recognition						60%	545	325	219	37	330	218
3316521a5527c7700af8ae6aef32a79a8b83672c	tud_pedestrian	TUD-Pedestrian	People-tracking-by-detection and people-detection-by-tracking	[pdf]	2008 IEEE Conference on Computer Vision and Pattern Recognition						60%	545	325	219	37	330	218
27a2fad58dd8727e280f97036e0d2bc55ef5424c	duke_mtmc	Duke MTMC	Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking	[pdf]	Unknown	edu	Duke University	United States	35.99905220	-78.92906290	86%	169	145	24	3	113	54
27a2fad58dd8727e280f97036e0d2bc55ef5424c	mot	MOT	Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking	[pdf]	Unknown	edu	Duke University	United States	35.99905220	-78.92906290	86%	169	145	24	3	113	54
16c7c31a7553d99f1837fc6e88e77b5ccbb346b8	prid	PRID	Person Re-identification by Descriptive and Discriminative Classification	[pdf]	Unknown						68%	386	263	123	23	204	180
98bb029afe2a1239c3fdab517323066f0957b81b	ilids_mcts_vid	iLIDS-VID	Person Re-identification by Video Ranking	[pdf]	Unknown						68%	209	143	66	8	111	97
98bb029afe2a1239c3fdab517323066f0957b81b	sdu_vid	SDU-VID	Person Re-identification by Video Ranking	[pdf]	Unknown						68%	209	143	66	8	111	97
0b84f07af44f964817675ad961def8a51406dd2e	prw	PRW	Person Re-identification in the Wild	[pdf]	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						68%	77	52	25	1	47	27
a0cc5f73a37723a6dd465924143f1cb4976d0169	msmt_17	MSMT17	Person Transfer GAN to Bridge Domain Gap for Person Re-identification	[pdf]	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition						92%	24	22	2	1	20	4
1c2802c2199b6d15ecefe7ba0c39bfe44363de38	youtube_poses	YouTube Pose	Personalizing Human Video Pose Estimation	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)	edu	Oxford University	United Kingdom	51.75208490	-1.25166460	67%	36	24	12	1	30	8
2830fb5282de23d7784b4b4bc37065d27839a412	h3d	H3D	Poselets: Body part detectors trained using 3D human pose annotations	[pdf]	2009 IEEE 12th International Conference on Computer Vision						59%	716	423	293	58	492	222
3765df816dc5a061bc261e190acc8bdd9d47bec0	rafd	RaFD	Presentation and validation of the Radboud Faces Database	[pdf]	Unknown						48%	487	234	253	39	342	144
636b8ffc09b1b23ff714ac8350bb35635e49fa3c	caltech_10k_web_faces	Caltech 10K Web Faces	Pruning training sets for learning of object categories	[pdf]	2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)						70%	63	44	19	4	42	20
3531332efe19be21e7401ba1f04570a142617236	ufdd	UFDD	Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results	[pdf]	CoRR						75%	4	3	1	0	4	0
140c95e53c619eac594d70f6369f518adfea12ef	ijb_a	IJB-A	Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A	[pdf]	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						67%	237	158	79	14	159	76
8fee9b8c44626c4ac6b96ef183394bc4f36dc95f	megaage	MegaAge	Quantifying Facial Age by Posterior of Age Comparisons	[pdf]	CoRR						50%	12	6	6	0	7	3
922e0a51a3b8c67c4c6ac09a577ff674cbd28b34	v47	V47	Re-identification of pedestrians with variable occlusion and scale	[pdf]	2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)	edu	Kingston University	United Kingdom	51.42930860	-0.26840440	56%	9	5	4	1	5	4
6f3c76b7c0bd8e1d122c6ea808a271fd4749c951	ward	WARD	Re-identify people in wide area camera network	[pdf]	2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops	edu	University of Udine	Italy	46.08107230	13.21194740	60%	60	36	24	1	38	21
54983972aafc8e149259d913524581357b0f91c3	reseed	ReSEED	ReSEED: social event dEtection dataset	[pdf]	Unknown						67%	6	4	2	1	1	5
65355cbb581a219bd7461d48b3afd115263ea760	complex_activities	Ongoing Complex Activities	Recognition of ongoing complex activities by sequence prediction over a hierarchical label space	[pdf]	2016 IEEE Winter Conference on Applications of Computer Vision (WACV)						33%	3	1	2	0	3	0
e8de844fefd54541b71c9823416daa238be65546	visual_phrases	Phrasal Recognition	Recognition using visual phrases	[pdf]	CVPR 2011	edu	University of Illinois, Urbana-Champaign	United States	40.11116745	-88.22587665	59%	246	144	102	17	170	68
356b431d4f7a2a0a38cf971c84568207dcdbf189	wider	WIDER	Recognize complex events from static images by fusing deep channels	[pdf]	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						70%	44	31	13	1	29	15
25474c21613607f6bb7687a281d5f9d4ffa1f9f3	faceplace	Face Place	Recognizing disguised faces	[pdf]	Unknown						38%	29	11	18	0	18	10
4053e3423fb70ad9140ca89351df49675197196a	bio_id	BioID Face	Robust Face Detection Using the Hausdorff Distance	[pdf]	Unknown						57%	511	292	219	49	329	182
2724ba85ec4a66de18da33925e537f3902f21249	cofw	COFW	Robust Face Landmark Estimation under Occlusion	[pdf]	2013 IEEE International Conference on Computer Vision	edu	California Institute of Technology	United States	34.13710185	-118.12527487	75%	325	245	80	11	194	133
c570d1247e337f91e555c3be0e8c8a5aba539d9f	mcgill	McGill Real World	Robust semi-automatic head pose labeling for real-world face video sequences	[pdf]	Multimedia Tools and Applications	edu	McGill University	Canada	45.50397610	-73.57496870	44%	18	8	10	0	13	7
e27ef52c641c2b5100a1b34fd0b819e84a31b4df	sarc3d	Sarc3D	SARC3D: A New 3D Body Model for People Tracking and Re-identification	[pdf]	Unknown						74%	34	25	9	2	21	12
bd26dabab576adb6af30484183c9c9c8379bf2e0	scut_fbp	SCUT-FBP	SCUT-FBP: A Benchmark Dataset for Facial Beauty Perception	[pdf]	2015 IEEE International Conference on Systems, Man, and Cybernetics						47%	19	9	10	2	6	13
29a705a5fa76641e0d8963f1fdd67ee4c0d92d3d	scface	SCface	SCface – surveillance cameras face database	[pdf]	Multimedia Tools and Applications						57%	179	102	77	15	88	89
d3f5a1848b0028d8ab51d0b0673732cad2e3c8c9	stair_actions	STAIR Action	STAIR Actions: A Video Dataset of Everyday Home Actions	[pdf]	CoRR						100%	1	1	0	0	1	0
833fa04463d90aab4a9fe2870d480f0b40df446e	sun_attributes	SUN	SUN attribute database: Discovering, annotating, and recognizing scene attributes	[pdf]	2012 IEEE Conference on Computer Vision and Pattern Recognition	edu	Brown University	United States	41.82686820	-71.40123146	61%	264	160	104	27	206	56
4308bd8c28e37e2ed9a3fcfe74d5436cce34b410	market_1501	Market 1501	Scalable Person Re-identification: A Benchmark	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)	company	Microsoft	United States	47.64233180	-122.13693020	77%	460	356	104	9	263	185
9c23859ec7313f2e756a3e85575735e0c52249f4	facebook_100	Facebook100	Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook	[pdf]	CVPR 2011 WORKSHOPS	edu	Harvard University	United States	42.36782045	-71.12666653	63%	52	33	19	2	38	13
9c23859ec7313f2e756a3e85575735e0c52249f4	pubfig_83	pubfig83	Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook	[pdf]	CVPR 2011 WORKSHOPS	edu	Harvard University	United States	42.36782045	-71.12666653	63%	52	33	19	2	38	13
51eba481dac6b229a7490f650dff7b17ce05df73	imsitu	imSitu	Situation Recognition: Visual Semantic Role Labeling for Image Understanding	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						65%	52	34	18	1	46	6
570f37ed63142312e6ccdf00ecc376341ec72b9f	stanford_drone	Stanford Drone	Social LSTM: Human Trajectory Prediction in Crowded Spaces	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						56%	224	125	99	3	140	81
23e824d1dfc33f3780dd18076284f07bd99f1c43	mifs	MIFS	Spoofing faces using makeup: An investigative study	[pdf]	2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)	edu	INRIA Méditerranée	France	43.61581310	7.06838000	67%	6	4	2	0	1	5
1a40092b493c6b8840257ab7f96051d1a4dbfeb2	sports_videos_in_the_wild	SVW	Sports Videos in the Wild (SVW): A video dataset for sports analysis	[pdf]	2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)						86%	7	6	1	1	5	2
9361b784e73e9238d5cefbea5ac40d35d1e3103f	oxford_town_centre	TownCentre	Stable multi-target tracking in real-time surveillance video	[pdf]	CVPR 2011	edu	University of Oxford	United Kingdom	51.75345380	-1.25400997	68%	328	222	106	13	186	140
2306b2a8fba28539306052764a77a0d0f5d1236a	qmul_surv_face	QMUL-SurvFace	Surveillance Face Recognition Challenge	[pdf]	CoRR	edu	Queen Mary University of London	United Kingdom	51.52472720	-0.03931035	100%	1	1	0	0	1	0
f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f	pku_reid	PKU-Reid	Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification	[pdf]	Unknown						50%	4	2	2	0	1	2
4d58f886f5150b2d5e48fd1b5a49e09799bf895d	texas_3dfrd	Texas 3DFRD	Texas 3D Face Recognition Database	[pdf]	2010 IEEE Southwest Symposium on Image Analysis & Interpretation (SSIAI)						61%	66	40	26	3	40	27
6d96f946aaabc734af7fe3fc4454cf8547fcd5ed	ar_facedb	AR Face	The AR face database	[pdf]	Unknown						58%	999	580	419	58	458	530
2485c98aa44131d1a2f7d1355b1e372f2bb148ad	cas_peal	CAS-PEAL	The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations	[pdf]	IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans						59%	429	255	174	38	198	234
47662d1a368daf70ba70ef2d59eb6209f98b675d	fia	CMU FiA	The CMU Face In Action (FIA) Database	[pdf]	Unknown						48%	54	26	28	5	40	16
4d423acc78273b75134e2afd1777ba6d3a398973	cmu_pie	CMU PIE	The CMU Pose, Illumination, and Expression (PIE) Database	[pdf]	Unknown						59%	760	451	308	49	404	345
4d423acc78273b75134e2afd1777ba6d3a398973	multi_pie	MULTIPIE	The CMU Pose, Illumination, and Expression (PIE) Database	[pdf]	Unknown						59%	760	451	308	49	404	345
4df3143922bcdf7db78eb91e6b5359d6ada004d2	cfd	CFD	The Chicago face database: A free stimulus set of faces and norming data.	[pdf]	Behavior research methods						60%	99	59	40	1	73	21
20388099cc415c772926e47bcbbe554e133343d1	cafe	#N/A	The Child Affective Facial Expression (CAFE) set: validity and reliability from untrained adults	[pdf]							54%	37	20	17	3	30	7
4e6ee936eb50dd032f7138702fa39b7c18ee8907	dartmouth_children	Dartmouth Children	The Dartmouth Database of Children’s Faces: Acquisition and Validation of a New Face Stimulus Set	[pdf]							52%	21	11	10	2	18	3
9e31e77f9543ab42474ba4e9330676e18c242e72	imdb_face	IMDb Face	The Devil of Face Recognition is in the Noise	[pdf]	Unknown	edu	Nanyang Technological University	Singapore	1.34841040	103.68297965	50%	6	3	3	0	4	1
71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6	umd_faces	UMD	The Do’s and Don’ts for CNN-Based Face Verification	[pdf]	2017 IEEE International Conference on Computer Vision Workshops (ICCVW)						62%	26	16	10	2	16	8
72a155c987816ae81c858fddbd6beab656d86220	europersons	EuroCity Persons	The EuroCity Persons Dataset: A Novel Benchmark for Object Detection	[pdf]	CoRR						0%	2	0	2	0	2	0
4d9a02d080636e9666c4d1cc438b9893391ec6c7	cohn_kanade_plus	CK+	The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression	[pdf]	2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops	edu	University of Pittsburgh	United States	40.44415295	-79.96243993	61%	999	608	391	57	470	518
0f0fcf041559703998abf310e56f8a2f90ee6f21	feret	FERET	The FERET Evaluation Methodology for Face-Recognition Algorithms	[pdf]	Unknown						34%	29	10	19	3	18	9
0c4a139bb87c6743c7905b29a3cfec27a5130652	feret	FERET	The FERET Verification Testing Protocol for Face Recognition Algorithms	[pdf]	Unknown	edu	City University of New York	United States	40.87228250	-73.89489171	51%	115	59	56	8	75	37
dc8b25e35a3acb812beb499844734081722319b4	feret	FERET	The FERET database and evaluation procedure for face-recognition algorithms	[pdf]	Image Vision Comput.						53%	999	525	474	101	591	421
8f02ec0be21461fbcedf51d864f944cfc42c875f	hda_plus	HDA+	The HDA+ Data Set for Research on Fully Automated Re-identification Systems	[pdf]	Unknown						50%	16	8	8	1	10	6
8be57cdad86fdf8c8290df4ca3149592f3c46dd3	m2vts	m2vts	The M2VTS Multimodal Face Database (Release 1.00)	[pdf]	Unknown						45%	73	33	40	2	39	33
ea050801199f98a1c7c1df6769f23f658299a3ae	mpi_large	Large MPI Facial Expression	The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions	[pdf]							52%	33	17	16	4	29	4
ea050801199f98a1c7c1df6769f23f658299a3ae	mpi_small	Small MPI Facial Expression	The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions	[pdf]							52%	33	17	16	4	29	4
578d4ad74818086bb64f182f72e2c8bd31e3d426	mr2	MR2	The MR2: A multi-racial, mega-resolution database of facial stimuli.	[pdf]	Behavior research methods						43%	7	3	4	0	7	0
f1af714b92372c8e606485a3982eab2f16772ad8	mug_faces	MUG Faces	The MUG facial expression database	[pdf]	11th International Workshop on Image Analysis for Multimedia Interactive Services WIAMIS 10	edu	Aristotle University of Thessaloniki	Greece	40.62984145	22.95889350	55%	82	45	37	4	34	47
79828e6e9f137a583082b8b5a9dfce0c301989b8	mapillary	Mapillary	The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes	[pdf]	2017 IEEE International Conference on Computer Vision (ICCV)						61%	61	37	24	0	43	16
96e0cfcd81cdeb8282e29ef9ec9962b125f379b0	megaface	MegaFace	The MegaFace Benchmark: 1 Million Faces for Recognition at Scale	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)						69%	216	150	66	11	149	61
0ee1916a0cb2dc7d3add086b5f1092c3d4beb38a	voc	VOC	The Pascal Visual Object Classes (VOC) Challenge	[pdf]	International Journal of Computer Vision	company	Microsoft	United States	47.64233180	-122.13693020	61%	999	608	390	28	557	422
66e6f08873325d37e0ec20a4769ce881e04e964e	sun_attributes	SUN	The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding	[pdf]	International Journal of Computer Vision						60%	116	70	46	14	84	31
8b2dd5c61b23ead5ae5508bb8ce808b5ea266730	10k_US_adult_faces	10K US Adult Faces	The intrinsic memorability of face photographs.	[pdf]	Journal of experimental psychology. General						56%	52	29	23	2	36	14
d178cde92ab3dc0dd2ebee5a76a33d556c39448b	jiku_mobile	Jiku Mobile Video Dataset	The jiku mobile video dataset	[pdf]	Unknown	edu	National University of Singapore	Singapore	1.29620180	103.77689944	71%	24	17	7	0	6	19
ae0aee03d946efffdc7af2362a42d3750e7dd48a	put_face	Put Face	The put face database	[pdf]	Unknown						55%	99	54	45	5	55	48
19d1b811df60f86cbd5e04a094b07f32fff7a32a	york_3d	UOY 3D Face Database	Three-dimensional face recognition: an eigensurface approach	[pdf]	2004 International Conference on Image Processing, 2004. ICIP '04.						42%	38	16	22	4	24	13
2edb87494278ad11641b6cf7a3f8996de12b8e14	qmul_grid	GRID	Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding	[pdf]	International Journal of Computer Vision	edu	Queen Mary University of London	United Kingdom	51.52472720	-0.03931035	63%	84	53	31	4	51	33
64e0690dd176a93de9d4328f6e31fc4afe1e7536	duke_mtmc	Duke MTMC	Tracking Multiple People Online and in Real Time	[pdf]	Unknown						78%	23	18	5	1	12	10
298cbc3dfbbb3a20af4eed97906650a4ea1c29e0	ferplus	FER+	Training deep networks for facial expression recognition with crowd-sourced label distribution	[pdf]	Unknown						74%	34	25	9	0	18	16
4eab317b5ac436a949849ed286baa3de2a541eef	laofiw	LAOFIW	Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings	[pdf]	Unknown						100%	2	2	0	0	2	0
b5f2846a506fc417e7da43f6a7679146d99c5e96	ucf_101	UCF101	UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild	[pdf]	CoRR						64%	999	643	356	56	628	362
16e8b0a1e8451d5f697b94c0c2b32a00abee1d52	umb	UMB	UMB-DB: A database of partially occluded 3D faces	[pdf]	2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)						66%	47	31	16	2	22	24
31b05f65405534a696a847dd19c621b7b8588263	umd_faces	UMD	UMDFaces: An annotated face dataset for training deep networks	[pdf]	2017 IEEE International Joint Conference on Biometrics (IJCB)	edu	University of Maryland	United States	39.28996850	-76.62196103	79%	42	33	9	2	30	11
8627f019882b024aef92e4eb9355c499c733e5b7	used	USED Social Event Dataset	USED: a large-scale social event detection dataset	[pdf]	Unknown	edu	University of Trento	Italy	46.06588360	11.11598940	86%	7	6	1	0	3	4
d4f1eb008eb80595bcfdac368e23ae9754e1e745	uccs	UCCS	Unconstrained Face Detection and Open-Set Face Recognition Challenge	[pdf]	2017 IEEE International Joint Conference on Biometrics (IJCB)						100%	5	5	0	0	4	1
4b4106614c1d553365bad75d7866bff0de6056ed	ufi	UFI	Unconstrained Facial Images: Database for Face Recognition Under Real-World Conditions	[pdf]	Unknown						50%	12	6	6	0	4	6
08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7	kin_face	UB KinFace	Understanding Kin Relationships in a Photo	[pdf]	IEEE Transactions on Multimedia						63%	94	59	35	1	33	61
5a4df9bef1872865f0b619ac3aacc97f49e4a035	cuhk_train_station	CUHK Train Station Dataset	Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents	[pdf]	2012 IEEE Conference on Computer Vision and Pattern Recognition	edu	Chinese University of Hong Kong	China	22.41626320	114.21093180	60%	141	84	57	4	60	75
21d9d0deed16f0ad62a4865e9acf0686f4f15492	images_of_groups	Images of Groups	Understanding images of groups of people	[pdf]	2009 IEEE Conference on Computer Vision and Pattern Recognition	edu	Carnegie Mellon University	United States	40.44416190	-79.94272826	57%	256	147	109	13	165	84
15e1af79939dbf90790b03d8aa02477783fb1d0f	duke_mtmc	Duke MTMC	Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro	[pdf]	2017 IEEE International Conference on Computer Vision (ICCV)						100%	0	0	0	0	0	0
fd8168f1c50de85bac58a8d328df0a50248b16ae	nd_2006	ND-2006	Using a Multi-Instance Enrollment Representation to Improve 3D Face Recognition	[pdf]	2007 First IEEE International Conference on Biometrics: Theory, Applications, and Systems	edu	University of Notre Dame	United States	41.70456775	-86.23822026	63%	35	22	13	3	18	15
4563b46d42079242f06567b3f2e2f7a80cb3befe	vadana	VADANA	VADANA: A dense dataset for facial image analysis	[pdf]	2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)	edu	University of Delaware	United States	39.68103280	-75.75401840	73%	15	11	4	0	5	10
70c59dc3470ae867016f6ab0e008ac8ba03774a1	vgg_faces2	VGG Face2	VGGFace2: A Dataset for Recognising Faces across Pose and Age	[pdf]	2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)						80%	83	66	17	3	61	20
01959ef569f74c286956024866c1d107099199f7	vqa	VQA	VQA: Visual Question Answering	[pdf]	2015 IEEE International Conference on Computer Vision (ICCV)						100%	0	0	0	0	0	0
b6c293f0420f7e945b5916ae44269fb53e139275	erce	ERCe	Video Synopsis by Heterogeneous Multi-source Correlation	[pdf]	2013 IEEE International Conference on Computer Vision						52%	29	15	14	2	14	13
b6c293f0420f7e945b5916ae44269fb53e139275	tisi	Times Square Intersection	Video Synopsis by Heterogeneous Multi-source Correlation	[pdf]	2013 IEEE International Conference on Computer Vision						52%	29	15	14	2	14	13
5194cbd51f9769ab25260446b4fa17204752e799	violent_flows	Violent Flows	Violent flows: Real-time detection of violent crowd behavior	[pdf]	2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops	edu	Open University of Israel	Israel	32.77824165	34.99565673	65%	88	57	31	6	45	44
026e3363b7f76b51cc711886597a44d5f1fd1de2	kitti	KITTI	Vision meets robotics: The KITTI dataset	[pdf]	I. J. Robotics Res.						60%	999	603	396	36	553	462
066000d44d6691d27202896691f08b27117918b9	psu	PSU	Vision-Based Analysis of Small Groups in Pedestrian Crowds	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence						54%	168	91	77	10	85	79
dd65f71dac86e36eecbd3ed225d016c3336b4a13	families_in_the_wild	FIW	Visual Kinship Recognition of Families in the Wild	[pdf]	IEEE Transactions on Pattern Analysis and Machine Intelligence	edu	University of Massachusetts Dartmouth	United States	41.62772475	-71.00724501	80%	5	4	1	0	2	3
8875ae233bc074f5cd6c4ebba447b536a7e847a5	voxceleb2	VoxCeleb2	VoxCeleb2: Deep Speaker Recognition.	[pdf]	Unknown						71%	34	24	9	2	31	2
52d7eb0fbc3522434c13cc247549f74bb9609c5d	wider_face	WIDER FACE	WIDER FACE: A Face Detection Benchmark	[pdf]	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)	edu	Chinese University of Hong Kong	China	22.41626320	114.21093180	67%	178	120	58	11	112	66
36bccfb2ad847096bc76777e544f305813cd8f5b	wildtrack	WildTrack	WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection	[pdf]	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition						100%	0	0	0	0	0	0
5ad4e9f947c1653c247d418f05dad758a3f9277b	wlfdb	WLFDB	WLFDB : Weakly Labeled Face Databases	[pdf]	Unknown						100%	1	1	0	0	0	1
0dc11a37cadda92886c56a6fb5191ded62099c28	stickmen_family	We Are Family Stickmen	We Are Family: Joint Pose Estimation of Multiple Persons	[pdf]	Unknown						68%	78	53	25	4	54	23
0c91808994a250d7be332400a534a9291ca3b60e	graz	Graz Pedestrian	Weak Hypotheses and Boosting for Generic Object Detection and Recognition	[pdf]	Unknown						56%	236	131	105	17	161	77
2a75f34663a60ab1b04a0049ed1d14335129e908	mmi_facial_expression	MMI Facial Expression Dataset	Web-based database for facial expression analysis	[pdf]	2005 IEEE International Conference on Multimedia and Expo						54%	464	250	214	45	282	188
9b9bf5e623cb8af7407d2d2d857bc3f1b531c182	who_goes_there	WGT	Who goes there?: approaches to mapping facial appearance diversity	[pdf]	Unknown	edu	University of Kentucky	United States	38.03337420	-84.50177580	100%	0	0	0	0	0	0
b62628ac06bbac998a3ab825324a41a11bc3a988	m2vtsdb_extended	xm2vtsdb	XM2VTSDB : The extended M2VTS database	[pdf]	Unknown						63%	864	541	323	37	493	404
010f0f4929e6a6644fb01f0e43820f91d0fad292	yfcc_100m	YFCC100M	YFCC100M: the new data in multimedia research	[pdf]	Commun. ACM	edu	Carnegie Mellon University	United States	40.44416190	-79.94272826	64%	274	176	98	23	172	100
a94cae786d515d3450d48267e12ca954aab791c4	yawdd	YawDD	YawDD: a yawning detection dataset	[pdf]	Unknown						80%	15	12	3	1	2	13

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