rebuildHEADmaster

7 files changed, 208 insertions, 208 deletions

diff --git a/site/datasets/citations/adience.json b/site/datasets/citations/adience.json
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--- a/site/datasets/citations/adience.json
+++ b/site/datasets/citations/adience.json
@@ -1 +1 @@
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diff --git a/site/datasets/citations/brainwash.json b/site/datasets/citations/brainwash.json
index f215ab61..89267e21 100644
--- a/site/datasets/citations/brainwash.json
+++ b/site/datasets/citations/brainwash.json
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"1bd1645a629f1b612960ab9bba276afd4cf7c666", "title": "End-to-End People Detection in Crowded Scenes", "addresses": [{"name": "Stanford University", "source_name": "Stanford University", "street_adddress": "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "lat": "37.43131385", "lng": "-122.16936535", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780624"]}, {"id": "591a4bfa6380c9fcd5f3ae690e3ac5c09b7bf37b", "title": "A Replacement Algorithm of Non-Maximum Suppression Base on Graph Clustering", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/591a/4bfa6380c9fcd5f3ae690e3ac5c09b7bf37b.pdf"], "doi": []}, {"id": "b02d31c640b0a31fb18c4f170d841d8e21ffb66c", "title": "Localized region context and object feature fusion for people head detection", "addresses": [{"name": "National University of Defense Technology, China", "source_name": "National University of Defence Technology, Changsha 410000, China", "street_adddress": "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "lat": "28.22902090", "lng": "112.99483204", "type": "mil", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532426", "http://doi.org/10.1109/ICIP.2016.7532426"]}, {"id": "7e915bb8e4ada4f8d261bc855a4f587ea97764ca", "title": "People detection in crowded scenes via regional-based convolutional network", "addresses": [{"name": "Peking University", "source_name": "Peking University", "street_adddress": "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "lat": "39.99223790", "lng": "116.30393816", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7877809", "http://doi.org/10.1109/ICSP.2016.7877809"]}, {"id": "68ea88440fc48d59c7407e71a193ff1973f9ba7c", "title": "Shoulder Keypoint-Detection from Object Detection", "addresses": [{"name": "University of Ottawa", "source_name": "University of Ottawa", "street_adddress": "University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada", "lat": "45.42580475", "lng": "-75.68740118", "type": "edu", "country": "Canada"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/68ea/88440fc48d59c7407e71a193ff1973f9ba7c.pdf"], "doi": []}]}
\ No newline at end of file
diff --git a/site/datasets/citations/datasets.csv b/site/datasets/citations/datasets.csv
index 7ddffff9..63946375 100644
--- a/site/datasets/citations/datasets.csv
+++ b/site/datasets/citations/datasets.csv
@@ -1,240 +1,240 @@
 key,title,link,images,citations

-adience,Adience,,26580,237

-flickr_faces,FFHQ,,"(None,)",156

-geofaces,GeoFaces,,248000,8

-h3d,H3D,,"(None,)",716

-helen,Helen,,2330,440

-ibm_dif,IBM Diversity in Faces,,1070000,0

-images_of_groups,Images of Groups,,5080,256

-leeds_sports_pose,Leeds Sports Pose,,2000,285

-leeds_sports_pose_extended,Leeds Sports Pose Extended,,10000,169

-lfpw,LFPW,,1433,0

-mafa,MAsked FAces,,30811,5

-megaage,MegaAge,,41941,12

+bp4d_plus,BP4D+,,196000000,42

+yfcc_100m,YFCC100M,,99171688,274

+msceleb,MsCeleb,,8200000,180

 megaface,MegaFace,,4753520,64

-moments_in_time,Moments in Time,,"(None,)",29

-pipa,PIPA,,37107,69

-stickmen_family,We Are Family Stickmen,,525,78

-tiny_faces,TinyFace,,169403,0

-ucf_crowd,UCF-CC-50,,50,148

+vgg_faces2,VGG Face2,,3310000,83

+vgg_faces,VGG Face,,2604849,999

+who_goes_there,WGT,,2106478,0

+duke_mtmc,Duke MTMC,,2000000,169

+4dfab,4DFAB,,1835513,4

+imdb_face,IMDb Face,,1662888,6

+mars,MARS,,1191003,168

+ibm_dif,IBM Diversity in Faces,,1070000,0

+mpii_human_pose,MPII Human Pose,,1021720,387

+deep_fashion,DeepFashion,,800000,176

+multi_pie,MULTIPIE,,750000,760

+wlfdb,WLFDB,,714454,1

 used,USED Social Event Dataset,,525000,7

-voc,VOC,,11530,999

-who_goes_there,WGT,,"(None,)",0

-yfcc_100m,YFCC100M,,99171688,274

-aflw,AFLW,,21997,318

-afw,AFW,,205,999

+imdb_wiki,IMDB-Wiki,,523051,145

+casia_webface,CASIA Webface,,494414,476

+qmul_surv_face,QMUL-SurvFace,,463507,1

+reseed,ReSEED,,430000,6

+umd_faces,UMD,,367888,42

 coco,COCO,,328000,999

-coco_action,COCO-a,,10000,25

-coco_qa,COCO QA,,123287,206

-malf,MALF,,5250,17

-ufdd,UFDD,,6424,4

-3d_rma,3D-RMA,,"(None,)",100

-3dddb_unconstrained,3D Dynamic,,"(None,)",2

-3dpes,3DPeS,,1011,133

-4dfab,4DFAB,,1835513,4

+caltech_pedestrians,Caltech Pedestrians,,250000,0

+geofaces,GeoFaces,,248000,8

+hollywood_headset,HollywoodHeads,,224740,33

+mpii_gaze,MPIIGaze,,213659,149

+vqa,VQA,,204721,0

+celeba,CelebA,,202599,919

+tiny_faces,TinyFace,,169403,0

 afad,AFAD,,164432,78

+disfa,DISFA,,130815,184

+msmt_17,MSMT17,,126441,24

+imsitu,imSitu,,126102,52

+coco_qa,COCO QA,,123287,206

+face_scrub,FaceScrub,,105830,138

+emotio_net,EmotioNet Database,,100000,86

+affectnet,AffectNet,,1000000,37

+cas_peal,CAS-PEAL,,99594,429

+gfw,Grouping Face in the Wild,,84200,2

+caltech_crp,Caltech CRP,,77450,17

+saivt,SAIVT SoftBio,,64472,65

+chokepoint,ChokePoint,,64204,138

+pubfig,PubFig,,58797,914

+morph_nc,MORPH-II,,55134,437

+wider,WIDER,,50574,44

+data_61,Data61 Pedestrian,,50000,8

+frgc,FRGC,,50000,999

+unbc_shoulder_pain,UNBC-McMaster Pain,,48398,189

+europersons,EuroCity Persons,,47300,2

+ucf_selfie,UCF Selfie,,46836,11

+d3dfacs,D3DFACS,,46710,50

+ilids_mcts_vid,iLIDS-VID,,43800,209

+nova_emotions,Novaemötions Dataset,,42911,9

+megaage,MegaAge,,41941,12

+cmu_pie,CMU PIE,,41368,760

+alert_airport,ALERT Airport,,39902,20

+vgg_celebs_in_places,CIP,,38000,5

+pipa,PIPA,,37107,69

+ferplus,FER+,,35887,34

+imfdb,IMFDB,,34512,17

+pets,PETS 2017,,33264,9

+market_1501,Market 1501,,32668,460

+wider_face,WIDER FACE,,32203,178

+mafa,MAsked FAces,,30811,5

+names_and_faces,News Dataset,,30281,0

 afew_va,AFEW-VA,,30000,18

-affectnet,AffectNet,,100000,37

+adience,Adience,,26580,237

+mapillary,Mapillary,,25000,61

+prid,PRID,,24541,386

+aflw,AFLW,,21997,318

+ijb_c,IJB-C,,21294,14

+mafl,MAFL,,20000,407

+large_scale_person_search,Large Scale Person Search,,18184,46

+mcgill,McGill Real World,,18000,8

+mot,MOT,,17757,632

+sun_attributes,SUN,,16873,116

 agedb,AgeDB,,16488,18

-alert_airport,ALERT Airport,,39902,20

-am_fed,AM-FED,,"(None,)",83

-apis,APiS1.0,,3661,28

-appa_real,APPA-REAL,,7591,10

-ar_facedb,AR Face,,4000,999

-awe_ears,AWE Ears,,1000,26

-b3d_ac,B3D(AC),,"(None,)",42

-bbc_pose,BBC Pose,,"(None,)",26

-bfm,BFM,,"(None,)",343

-bio_id,BioID Face,,1521,511

-bosphorus,The Bosphorus,,3545,352

-bp4d_plus,BP4D+,,196000000,42

-bp4d_spontanous,BP4D-Spontanous,,"(None,)",154

-bpad,BPAD,,8035,230

+uccs,UCCS,,16149,6

+kitti,KITTI,,14999,999

+feret,FERET,,14126,115

+wider_attribute,WIDER Attribute,,13789,18

+nd_2006,ND-2006,,13450,35

+lfw,LFW,,13233,123

+cuhk_campus_03,CUHK03 Campus,,13164,280

+mtfl,MTFL,,12995,407

+mpi_small,Small MPI Facial Expression,,12595,33

 brainwash,Brainwash,,11917,67

+prw,PRW,,11816,77

+ijb_b,IJB-B,,11755,35

+voc,VOC,,11530,999

+families_in_the_wild,FIW,,11193,5

+hrt_transgender,HRT Transgender,,10564,7

+leeds_sports_pose_extended,Leeds Sports Pose Extended,,10000,169

+coco_action,COCO-a,,10000,25

+immediacy,Immediacy,,10000,26

 bu_3dfe,BU-3DFE,,10000,588

+put_face,Put Face,,9971,99

+expw,ExpW,,8306,11

+social_relation,Social Relation,,8306,23

+pubfig_83,pubfig83,,8300,52

+bpad,BPAD,,8035,230

+appa_real,APPA-REAL,,7591,10

 caltech_10k_web_faces,Caltech 10K Web Faces,,7092,63

-caltech_crp,Caltech CRP,,77450,17

-caltech_pedestrians,Caltech Pedestrians,,250000,0

-cas_peal,CAS-PEAL,,99594,429

-casablanca,Casablanca,,1466,33

-casia_webface,CASIA Webface,,494414,476

-celeba,CelebA,,202599,919

-cfd,CFD,,"(None,)",99

-chalearn,ChaLearn,,"(None,)",13

-chokepoint,ChokePoint,,64204,138

-clothing_co_parsing,CCP,,2098,60

-cmdp,CMDP,,583,9

-cmu_pie,CMU PIE,,41368,760

-cofw,COFW,,1007,325

-cohn_kanade,CK,,486,999

-cohn_kanade_plus,CK+,,593,999

-columbia_gaze,Columbia Gaze,,5880,79

-complex_activities,Ongoing Complex Activities,,"(None,)",3

-cuhk_campus_03,CUHK03 Campus,,13164,280

-cuhk_train_station,CUHK Train Station Dataset,,"(None,)",141

+raid,43,,6920,49

+ufdd,UFDD,,6424,4

 cvc_01_barcelona,CVC-01,,6000,47

-d3dfacs,D3DFACS,,46710,50

-dartmouth_children,Dartmouth Children,,"(None,)",21

-data_61,Data61 Pedestrian,,50000,8

-deep_fashion,DeepFashion,,800000,176

-disfa,DISFA,,130815,184

-distance_nighttime,Long Distance Heterogeneous Face,,"(None,)",22

-duke_mtmc,Duke MTMC,,2000000,169

-emotio_net,EmotioNet Database,,100000,86

-erce,ERCe,,"(None,)",29

-eth_andreas_ess,ETHZ Pedestrian,,2293,324

-europersons,EuroCity Persons,,47300,2

-expw,ExpW,,8306,11

-face_scrub,FaceScrub,,105830,138

-face_tracer,FaceTracer,,"(None,)",225

-facebook_100,Facebook100,,100,52

-faceplace,Face Place,,"(None,)",29

-families_in_the_wild,FIW,,11193,5

+columbia_gaze,Columbia Gaze,,5880,79

+ijb_a,IJB-A,,5396,237

+malf,MALF,,5250,17

+york_3d,UOY 3D Face Database,,5250,38

+images_of_groups,Images of Groups,,5080,256

+ward,WARD,,4786,60

+scut_head,SCUT HEAD,,4405,0

+scface,SCface,,4160,179

+ar_facedb,AR Face,,4000,999

+lag,LAG,,3828,7

+apis,APiS1.0,,3661,28

+ifdb,IFDB,,3600,0

+bosphorus,The Bosphorus,,3545,352

+hi4d_adsip,Hi4D-ADSIP,,3360,15

+ifad,IFAD,,3296,2

+hda_plus,HDA+,,2976,16

+mmi_facial_expression,MMI Facial Expression Dataset,,2900,464

 fddb,FDDB,,2845,380

 fei,FEI,,2800,169

-feret,FERET,,14126,115

-ferplus,FER+,,35887,34

-fia,CMU FiA,,"(None,)",54

-fiw_300,300-W,,600,184

-fpoq,50 People One Question,,"(None,)",16

+visual_phrases,Phrasal Recognition,,2769,246

+m2vtsdb_extended,xm2vtsdb,,2360,864

+helen,Helen,,2330,440

+vadana,VADANA,,2298,15

+eth_andreas_ess,ETHZ Pedestrian,,2293,324

+clothing_co_parsing,CCP,,2098,60

+leeds_sports_pose,Leeds Sports Pose,,2000,285

+mit_cbcl,MIT CBCL,,2000,0

+tud_multiview,TUD-Multiview,,1982,311

+hipsterwars,Hipsterwars,,1893,95

+pku_reid,PKU-Reid,,1824,4

+inria_person,INRIA Pedestrian,,1805,999

 frav3d,FRAV3D,,1696,14

-frgc,FRGC,,50000,999

-gallagher,Gallagher,,589,178

-georgia_tech_face_database,Georgia Tech Face,,"(None,)",67

-gfw,Grouping Face in the Wild,,84200,2

+bio_id,BioID Face,,1521,511

 graz,Graz Pedestrian,,1476,236

-hda_plus,HDA+,,2976,16

-hi4d_adsip,Hi4D-ADSIP,,3360,15

-hipsterwars,Hipsterwars,,1893,95

-hollywood_headset,HollywoodHeads,,224740,33

-hrt_transgender,HRT Transgender,,10564,7

-ifad,IFAD,,3296,2

-ifdb,IFDB,,3600,0

+umb,UMB,,1473,47

+casablanca,Casablanca,,1466,33

+lfpw,LFPW,,1433,0

+qmul_grid,GRID,,1275,84

+pilot_parliament,PPB,,1270,59

+viper,VIPeR,,1264,624

+mug_faces,MUG Faces,,1222,82

+texas_3dfrd,Texas 3DFRD,,1149,91

+tud_motionpairs,TUD-Motionparis,,1092,0

+3dpes,3DPeS,,1011,133

+cofw,COFW,,1007,325

+awe_ears,AWE Ears,,1000,26

+precarious,Precarious,,951,14

+v47,V47,,752,9

+stickmen_buffy,Buffy Stickmen,,748,285

+mifs,MIFS,,642,6

+youtube_makeup,YMU,,604,53

+fiw_300,300-W,,600,184

+kin_face,UB KinFace,,600,94

+cohn_kanade_plus,CK+,,593,999

+gallagher,Gallagher,,589,178

+cmdp,CMDP,,583,9

+stickmen_pascal,Stickmen PASCAL,,549,369

+rafd,RaFD,,536,487

+stickmen_family,We Are Family Stickmen,,525,78

+tud_brussels,TUD-Brussels,,508,0

+cohn_kanade,CK,,486,999

 iit_dehli_ear,IIT Dehli Ear,,465,80

-ijb_a,IJB-A,,5396,237

-ijb_b,IJB-B,,11755,35

-ijb_c,IJB-C,,21294,14

-ilids_mcts,i-LIDS Multiple-Camera,,"(None,)",35

-ilids_mcts_vid,iLIDS-VID,,43800,209

-imdb_face,IMDb Face,,1662888,6

-imdb_wiki,IMDB-Wiki,,523051,145

-imfdb,IMFDB,,34512,17

-immediacy,Immediacy,,10000,26

-imsitu,imSitu,,126102,52

-inria_person,INRIA Pedestrian,,1805,999

+orl,ORL,,400,999

+urban_tribes,Urban Tribes,,340,18

+tud_pedestrian,TUD-Pedestrian,,250,545

 jaffe,JAFFE,,213,899

-jiku_mobile,Jiku Mobile Video Dataset,,"(None,)",24

-jpl_pose,JPL-Interaction dataset,,"(None,)",148

-kin_face,UB KinFace,,600,94

-kinectface,KinectFaceDB,,"(None,)",82

-kitti,KITTI,,14999,999

-lag,LAG,,3828,7

-laofiw,LAOFIW,,"(None,)",2

-large_scale_person_search,Large Scale Person Search,,18184,46

-lfw,LFW,,13233,123

+afw,AFW,,205,999

+vmu,VMU,,204,53

+tud_crossing,TUD-Crossing,,201,545

+sarc3d,Sarc3D,,200,34

 m2vts,m2vts,,185,73

-m2vtsdb_extended,xm2vtsdb,,2360,864

-mafl,MAFL,,20000,407

-mapillary,Mapillary,,25000,61

-market_1501,Market 1501,,32668,460

-mars,MARS,,1191003,168

-mcgill,McGill Real World,,18000,8

-mifs,MIFS,,642,6

-mit_cbcl,MIT CBCL,,2000,0

+penn_fudan,Penn Fudan,,170,105

+tud_stadtmitte,TUD-Stadtmitte,,170,311

+yale_faces,YaleFaces,,165,999

 miw,MIW,,154,49

-mmi_facial_expression,MMI Facial Expression Dataset,,2900,464

-morph,MORPH Commercial,,"(None,)",437

-morph_nc,MORPH-II,,55134,437

-mot,MOT,,17757,632

-mpi_large,Large MPI Facial Expression,,"(None,)",33

-mpi_small,Small MPI Facial Expression,,12595,33

-mpii_gaze,MPIIGaze,,213659,149

-mpii_human_pose,MPII Human Pose,,1021720,387

+facebook_100,Facebook100,,100,52

 mr2,MR2,,74,7

+tud_campus,TUD-Campus,,71,545

+ucf_crowd,UCF-CC-50,,50,148

+flickr_faces,FFHQ,,"(None,)",156

+h3d,H3D,,"(None,)",716

+moments_in_time,Moments in Time,,"(None,)",29

+3d_rma,3D-RMA,,"(None,)",100

+3dddb_unconstrained,3D Dynamic,,"(None,)",2

+bbc_pose,BBC Pose,,"(None,)",26

+complex_activities,Ongoing Complex Activities,,"(None,)",3

+erce,ERCe,,"(None,)",29

+face_tracer,FaceTracer,,"(None,)",225

+faceplace,Face Place,,"(None,)",29

+ilids_mcts,i-LIDS Multiple-Camera,,"(None,)",35

+jiku_mobile,Jiku Mobile Video Dataset,,"(None,)",24

+laofiw,LAOFIW,,"(None,)",2

 mrp_drone,MRP Drone,,"(None,)",7

-msceleb,MsCeleb,,8200000,180

-msmt_17,MSMT17,,126441,24

-mtfl,MTFL,,12995,407

-mug_faces,MUG Faces,,1222,82

-multi_pie,MULTIPIE,,750000,760

-names_and_faces,News Dataset,,30281,0

-nd_2006,ND-2006,,13450,35

-nova_emotions,Novaemötions Dataset,,42911,9

-orl,ORL,,400,999

-oxford_town_centre,TownCentre,,"(None,)",328

-pa_100k,PA-100K,,"(None,)",55

-penn_fudan,Penn Fudan,,170,105

 peta,PETA,,"(None,)",88

-pets,PETS 2017,,33264,9

-pilot_parliament,PPB,,1270,59

-pku_reid,PKU-Reid,,1824,4

-precarious,Precarious,,951,14

-prid,PRID,,24541,386

-prw,PRW,,11816,77

 psu,PSU,,"(None,)",168

-pubfig,PubFig,,58797,914

-pubfig_83,pubfig83,,8300,52

-put_face,Put Face,,9971,99

-qmul_grid,GRID,,1275,84

-qmul_surv_face,QMUL-SurvFace,,463507,1

-rafd,RaFD,,536,487

-raid,43,,6920,49

-rap_pedestrian,RAP,,"(None,)",26

-reseed,ReSEED,,430000,6

-saivt,SAIVT SoftBio,,64472,65

-sarc3d,Sarc3D,,200,34

-scface,SCface,,4160,179

-scut_fbp,SCUT-FBP,,"(None,)",19

-scut_head,SCUT HEAD,,4405,0

 sdu_vid,SDU-VID,,"(None,)",95

-social_relation,Social Relation,,8306,23

-soton,SOTON HiD,,"(None,)",150

 sports_videos_in_the_wild,SVW,,"(None,)",7

 stair_actions,STAIR Action,,"(None,)",1

 stanford_drone,Stanford Drone,,"(None,)",224

-stickmen_buffy,Buffy Stickmen,,748,285

-stickmen_pascal,Stickmen PASCAL,,549,369

-sun_attributes,SUN,,16873,116

 svs,SVS,,"(None,)",28

-texas_3dfrd,Texas 3DFRD,,1149,91

 tisi,Times Square Intersection,,"(None,)",29

-tud_brussels,TUD-Brussels,,508,0

-tud_campus,TUD-Campus,,71,545

-tud_crossing,TUD-Crossing,,201,545

-tud_motionpairs,TUD-Motionparis,,1092,0

-tud_multiview,TUD-Multiview,,1982,311

-tud_pedestrian,TUD-Pedestrian,,250,545

-tud_stadtmitte,TUD-Stadtmitte,,170,311

 tvhi,TVHI,,"(None,)",98

-uccs,UCCS,,16149,6

 ucf_101,UCF101,,"(None,)",999

-ucf_selfie,UCF Selfie,,46836,11

 ufi,UFI,,"(None,)",12

-umb,UMB,,1473,47

-umd_faces,UMD,,367888,42

-unbc_shoulder_pain,UNBC-McMaster Pain,,48398,189

-urban_tribes,Urban Tribes,,340,18

-v47,V47,,752,9

-vadana,VADANA,,2298,15

-vgg_celebs_in_places,CIP,,38000,5

-vgg_faces,VGG Face,,2604849,999

-vgg_faces2,VGG Face2,,3310000,83

 violent_flows,Violent Flows,,"(None,)",88

-viper,VIPeR,,1264,624

-visual_phrases,Phrasal Recognition,,2769,246

-vmu,VMU,,204,53

-vqa,VQA,,204721,0

-ward,WARD,,4786,60

-wider,WIDER,,50574,44

-wider_attribute,WIDER Attribute,,13789,18

-wider_face,WIDER FACE,,32203,178

 wildtrack,WildTrack,,"(None,)",0

-wlfdb,WLFDB,,714454,1

-yale_faces,YaleFaces,,165,999

-yawdd,YawDD,,"(None,)",15

-york_3d,UOY 3D Face Database,,5250,38

 youtube_celebrities,YouTube Celebrities,,"(None,)",267

 youtube_faces,YouTubeFaces,,"(None,)",509

-youtube_makeup,YMU,,604,53

 youtube_poses,YouTube Pose,,"(None,)",36

 voxceleb2,VoxCeleb2,,"(None,)",34

+b3d_ac,B3D(AC),,"(None,)",42

+bfm,BFM,,"(None,)",343

+bp4d_spontanous,BP4D-Spontanous,,"(None,)",154

+cfd,CFD,,"(None,)",99

+fpoq,50 People One Question,,"(None,)",16

+jpl_pose,JPL-Interaction dataset,,"(None,)",148

+soton,SOTON HiD,,"(None,)",150

+yawdd,YawDD,,"(None,)",15

+am_fed,AM-FED,,"(None,)",83

+chalearn,ChaLearn,,"(None,)",13

+cuhk_train_station,CUHK Train Station Dataset,,"(None,)",141

+dartmouth_children,Dartmouth Children,,"(None,)",21

+distance_nighttime,Long Distance Heterogeneous Face,,"(None,)",22

+fia,CMU FiA,,"(None,)",54

+georgia_tech_face_database,Georgia Tech Face,,"(None,)",67

+kinectface,KinectFaceDB,,"(None,)",82

+morph,MORPH Commercial,,"(None,)",437

+mpi_large,Large MPI Facial Expression,,"(None,)",33

+oxford_town_centre,TownCentre,,"(None,)",328

+pa_100k,PA-100K,,"(None,)",55

+rap_pedestrian,RAP,,"(None,)",26

+scut_fbp,SCUT-FBP,,"(None,)",19

diff --git a/site/datasets/citations/helen.json b/site/datasets/citations/helen.json
index 8706938e..f8218d89 100644
--- a/site/datasets/citations/helen.json
+++ b/site/datasets/citations/helen.json
@@ -1 +1 @@
-{"id": "95f12d27c3b4914e0668a268360948bce92f7db3", "paper": {"key": "helen", "name": "Helen", "title": "Interactive Facial Feature Localization", "year": "2012", "addresses": [{"name": "Adobe", "source_name": "Adobe2", "street_adddress": "345 Park Ave, San Jose, CA 95110, USA", "lat": "37.33077030", "lng": "-121.89409510", "type": "company", "country": "United States"}]}, "citations": [{"id": "237b37bf04c1b6d00649458fe553cd55459cc01c", "title": "Facial landmark tracking on a mobile device", "addresses": [{"name": "University of Twente", "source_name": "University of Twente", "street_adddress": "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "lat": "52.23801390", "lng": "6.85667610", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/237b/37bf04c1b6d00649458fe553cd55459cc01c.pdf"], "doi": []}, {"id": "a66d89357ada66d98d242c124e1e8d96ac9b37a0", "title": "Failure 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diff --git a/site/datasets/citations/megaface.json b/site/datasets/citations/megaface.json
index 677c6962..57cf24cc 100644
--- a/site/datasets/citations/megaface.json
+++ b/site/datasets/citations/megaface.json
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\ No newline at end of file
diff --git a/site/datasets/citations/pipa.json b/site/datasets/citations/pipa.json
index 1e6e7be5..50d36015 100644
--- a/site/datasets/citations/pipa.json
+++ b/site/datasets/citations/pipa.json
@@ -1 +1 @@
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diff --git a/site/datasets/citations/voc.json b/site/datasets/citations/voc.json
index 44c8f9ca..ed957414 100644
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