diff options
| author | jules@lens <julescarbon@gmail.com> | 2019-06-04 15:18:26 +0200 |
|---|---|---|
| committer | jules@lens <julescarbon@gmail.com> | 2019-06-04 15:18:26 +0200 |
| commit | 75debc5c9b774d68cbd01ab85f82a2a3f1a2b906 (patch) | |
| tree | ba9a34af7932c37e63b885ef29b074579c8ea7fa /site/datasets/verified | |
| parent | 144c425749bbc7d092b31977439c911185eb6f33 (diff) | |
rebuild
Diffstat (limited to 'site/datasets/verified')
| -rw-r--r-- | site/datasets/verified/adience.json | 2 | ||||
| -rw-r--r-- | site/datasets/verified/brainwash.json | 2 | ||||
| -rw-r--r-- | site/datasets/verified/duke_mtmc.json | 2 | ||||
| -rw-r--r-- | site/datasets/verified/helen.json | 2 | ||||
| -rw-r--r-- | site/datasets/verified/imdb_face.json | 2 | ||||
| -rw-r--r-- | site/datasets/verified/megaface.json | 2 | ||||
| -rw-r--r-- | site/datasets/verified/morph_nc.json | 2 | ||||
| -rw-r--r-- | site/datasets/verified/msceleb.json | 2 | ||||
| -rw-r--r-- | site/datasets/verified/pipa.json | 2 | ||||
| -rw-r--r-- | site/datasets/verified/uccs.json | 2 |
10 files changed, 10 insertions, 10 deletions
diff --git a/site/datasets/verified/adience.json b/site/datasets/verified/adience.json index 7fc99f39..8c6fa7a6 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"}], "vetting": {"yes": 97, "no": 79, "total": 176}}, "citations": 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"lat": "38.98691830", "lng": "-76.94255430", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.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, 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