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Diffstat (limited to 'site/datasets/final/gfw.json')
| -rw-r--r-- | site/datasets/final/gfw.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/final/gfw.json b/site/datasets/final/gfw.json index 771b44bb..709ecd55 100644 --- a/site/datasets/final/gfw.json +++ b/site/datasets/final/gfw.json @@ -1 +1 @@ -{"id": "e58dd160a76349d46f881bd6ddbc2921f08d1050", "dataset": {"key": "gfw", "name_short": "Grouping Face in the Wild", "name_full": "Grouping Face in the Wild (GFW) Dataset", "purpose": "face clustering", "url": "https://github.com/bj80heyue/Learning-to-Group", "downloaded": "", "mp_pub": "N", "ft_share": "Y", "wild": "Y", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "parent": "", "child": "", "source": "www", "usernames": "", "names": "", "year_start": "", "year_end": "", "year_published": "", "ongoing": "", "images": "84,200 ", "videos": "", "identities": "3,132 ", "faces": "78,000 ", "img_per_person": "", "num_cameras": "", "faces_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "derivative_of": "", "tags": "", "size_gb": "", "agreement": "", "agree_requied": "", "agreement_signed": "", "downloaded_from": "", "comment": "", "adam": "", "berit": "", "charlie": "", "notes": ""}, "paper": {"paper_id": "e58dd160a76349d46f881bd6ddbc2921f08d1050", "key": "gfw", "title": "Merge or Not? Learning to Group Faces via Imitation Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.03986.pdf"], "address": "", "name": "Grouping Face in the Wild", "doi": []}, "addresses": [], "additional_papers": [], "citations": [{"id": "9fb3707a0f90c6620251d202a972a2c626dce976", "title": "Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning", "addresses": [{"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"}, {"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": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03312.pdf"]}]}
\ No newline at end of file +{"id": "e58dd160a76349d46f881bd6ddbc2921f08d1050", "dataset": {"key": "gfw", "name_short": "Grouping Face in the Wild", "name_full": "Grouping Face in the Wild (GFW) Dataset", "purpose": "face clustering", "url": "https://github.com/bj80heyue/Learning-to-Group", "downloaded": "", "mp_pub": "N", "ft_share": "Y", "wild": "Y", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "parent": "", "child": "", "source": "www", "usernames": "", "names": "", "year_start": "", "year_end": "", "year_published": "", "ongoing": "", "images": "84,200 ", "videos": "", "identities": "3,132 ", "img_per_person": "", "num_cameras": "", "faces_persons": "78,000 ", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "derivative_of": "", "tags": "", "size_gb": "", "agreement": "", "agree_requied": "", "agreement_signed": "", "downloaded_from": "", "comment": "", "adam": "", "berit": "", "charlie": "", "notes": ""}, "paper": {"paper_id": "e58dd160a76349d46f881bd6ddbc2921f08d1050", "key": "gfw", "title": "Merge or Not? Learning to Group Faces via Imitation Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.03986.pdf"], "address": "", "name": "Grouping Face in the Wild", "doi": []}, "addresses": [], "additional_papers": [], "citations": [{"id": "9fb3707a0f90c6620251d202a972a2c626dce976", "title": "Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning", "addresses": [{"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"}, {"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": "Sun Yat-Sen University", "source_name": "Sun Yat-Sen University", "street_adddress": "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03312.pdf"]}]}
\ No newline at end of file |