diff options
| author | jules@lens <julescarbon@gmail.com> | 2019-04-29 15:21:43 +0200 |
|---|---|---|
| committer | jules@lens <julescarbon@gmail.com> | 2019-04-29 15:21:43 +0200 |
| commit | 2e084b68335fbdd53065f605d5d337dc844b0e3e (patch) | |
| tree | 4585a7a164735ef295dc9a138b4e1080808721cd /site/datasets/verified | |
| parent | 03dae85958c9f4c4a41c9c5534cd54ccc1d04c5f (diff) | |
rebuild, adding nyt datasets
Diffstat (limited to 'site/datasets/verified')
| -rw-r--r-- | site/datasets/verified/adience.json | 2 | ||||
| -rw-r--r-- | site/datasets/verified/agedb.json | 2 | ||||
| -rw-r--r-- | site/datasets/verified/duke_mtmc.json | 2 | ||||
| -rw-r--r-- | site/datasets/verified/h3d.json | 1 | ||||
| -rw-r--r-- | site/datasets/verified/helen.json | 2 | ||||
| -rw-r--r-- | site/datasets/verified/leeds_sports_pose.json | 1 | ||||
| -rw-r--r-- | site/datasets/verified/leeds_sports_pose_extended.json | 1 | ||||
| -rw-r--r-- | site/datasets/verified/mafa.json | 1 | ||||
| -rw-r--r-- | site/datasets/verified/megaface.json | 2 | ||||
| -rw-r--r-- | site/datasets/verified/moments_in_time.json | 1 | ||||
| -rw-r--r-- | site/datasets/verified/msceleb.json | 2 | ||||
| -rw-r--r-- | site/datasets/verified/pipa.json | 2 | ||||
| -rw-r--r-- | site/datasets/verified/stickmen_family.json | 1 | ||||
| -rw-r--r-- | site/datasets/verified/tiny_faces.json | 1 | ||||
| -rw-r--r-- | site/datasets/verified/uccs.json | 2 | ||||
| -rw-r--r-- | site/datasets/verified/ucf_crowd.json | 1 |
16 files changed, 16 insertions, 8 deletions
diff --git a/site/datasets/verified/adience.json b/site/datasets/verified/adience.json index 037665e5..833e3430 100644 --- a/site/datasets/verified/adience.json +++ b/site/datasets/verified/adience.json @@ -1 +1 @@ -{"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "paper": {"key": "adience", "name": "Adience", "title": "Age and Gender Estimation of Unfiltered Faces", "year": "2014", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}]}, "citations": []}
\ No newline at end of file +{"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "paper": {"key": "adience", "name": "Adience", "title": "Age and Gender Estimation of Unfiltered Faces", "year": "2014", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}]}, "citations": [{"id": "c72a2ea819df9b0e8cd267eebcc6528b8741e03d", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "addresses": [{"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09687.pdf"], "doi": []}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "addresses": [{"name": "Imperial College London", "source_name": "Imperial College London", "street_adddress": "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu", "country": "United Kingdom"}], "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "4f37f71517420c93c6841beb33ca0926354fa11d", "title": "A hybrid deep learning CNN-ELM for age and gender classification", "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"}, {"name": "Hunan University", "source_name": "Hunan University", "street_adddress": "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "26.88111275", "lng": "112.62850666", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-NC-2017.pdf", "http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-NC-2018.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2017.08.062"]}, {"id": "cb43519894258b125624dc0df655ab5357b1e42f", "title": "Face Aging with Contextual Generative Adversarial Nets", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, {"name": "Qihoo 360 AI Institute, Beijing, China", "source_name": "Qihoo 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\ No newline at end of file |
