diff options
Diffstat (limited to 'site/datasets/final/pku_reid.json')
| -rw-r--r-- | site/datasets/final/pku_reid.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/final/pku_reid.json b/site/datasets/final/pku_reid.json index 32e4b903..3029cdc1 100644 --- a/site/datasets/final/pku_reid.json +++ b/site/datasets/final/pku_reid.json @@ -1 +1 @@ -{"id": "f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f", "dataset": {"key": "pku_reid", "name_short": "PKU-Reid", "name_display": "PKU-Reid", "name_full": "Peking University Re-Identification Dataset", "purpose": "person re-id, first dataset that captures person appearance from all eight orientations", "comment": "person bboxes only for PKU", "funded_by": "", "license": "", "url": "https://github.com/charliememory/PKU-Reid-Dataset", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "Y", "campus": "Y", "cyberspace": "", "parent": "pku", "source": "pku", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2016", "ongoing": "", "images": "1,824 ", "videos": "", "identities": "114 ", "img_per_person": "", "num_cameras": "2", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "128", "height": "64", "color": "Y", "gray": "", "tags": "pr_id, gait", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "Y"}, "paper": {"paper_id": "f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f", "key": "pku_reid", "title": "Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f6c8/d5e35d7e4d60a0104f233ac1a3ab757da53f.pdf"], "address": "", "name": "PKU-Reid", "doi": []}, "addresses": [], "additional_papers": [{"paper_id": "a7fe834a0af614ce6b50dc093132b031dd9a856b", "key": "pku_reid", "title": "Orientation Driven Bag of Appearances for Person Re-identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.02464.pdf"], "address": "", "name": "PKU-Reid", "doi": []}], "citations": [{"id": "e3aca5a0afd13085bcc39dde7691524a07d34206", "title": "Spatial Pyramid-Based Statistical Features for Person Re-Identification: A Comprehensive Evaluation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7811218", "http://doi.org/10.1109/TSMC.2016.2645660"]}, {"id": "99eb4cea0d9bc9fe777a5c5172f8638a37a7f262", "title": "Person Re-identification by Exploiting Spatio-Temporal Cues and Multi-view Metric Learning", "addresses": [{"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7480858", "http://doi.org/10.1109/LSP.2016.2574323"]}, {"id": "15a0546ee32ac391f342a6188446dd6699a1d7b8", "title": "Person reID while Crossing Different Cameras : Combination of Salient-Gaussian Weighted BossaNova and Fisher Vector Encodings", "addresses": [{"name": "Majmaah University", "source_name": "REGIM: Research Groups on Intelligent Machines University of Sfax, ENIS, Tunisia, College of AlGhat, Majmaah university, Riyadh, KSA", "street_adddress": "Al Majmaah 15341, Saudi Arabia", "lat": "25.86830810", "lng": "45.42090430", "type": "edu", "country": "Saudi Arabia"}, {"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/15a0/546ee32ac391f342a6188446dd6699a1d7b8.pdf"], "doi": []}, {"id": "37eff004718e0d66a249310ab5108206d158d945", "title": "DeepDiff: Learning deep difference features on human body parts for person re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://sites.nlsde.buaa.edu.cn/~shenghao/Download/publications/2017/4.DeepDiff%20Learning%20deep%20difference%20features%20on%20human%20body%20parts%20for%20person%20re-identification.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2017.02.055"]}, {"id": "1c8d585fb7e82abf43f45014494018a843774d2b", "title": "Consistent Iterative Multiview Transfer Learning for Person Re-identification", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1c8d/585fb7e82abf43f45014494018a843774d2b.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f", "dataset": {"key": "pku_reid", "name_short": "PKU-Reid", "name_display": "PKU-Reid", "name_full": "Peking University Re-Identification Dataset", "purpose": "person re-id, first dataset that captures person appearance from all eight orientations", "comment": "person bboxes only for PKU", "created_by": "", "funded_by": "", "funded_by_short": "", "license": "", "url": "https://github.com/charliememory/PKU-Reid-Dataset", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "Y", "campus": "Y", "cyberspace": "", "parent": "pku", "source": "pku", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2016", "ongoing": "", "images": "1,824 ", "videos": "", "identities": "114 ", "img_per_person": "", "num_cameras": "2", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "128", "height": "64", "color": "Y", "gray": "", "tags": "pr_id, gait", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "Y", "": ""}, "paper": {"paper_id": "f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f", "key": "pku_reid", "title": "Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f6c8/d5e35d7e4d60a0104f233ac1a3ab757da53f.pdf"], "address": "", "name": "PKU-Reid", "doi": []}, "addresses": [], "additional_papers": [{"paper_id": "a7fe834a0af614ce6b50dc093132b031dd9a856b", "key": "pku_reid", "title": "Orientation Driven Bag of Appearances for Person Re-identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.02464.pdf"], "address": "", "name": "PKU-Reid", "doi": []}], "citations": [{"id": "e3aca5a0afd13085bcc39dde7691524a07d34206", "title": "Spatial Pyramid-Based Statistical Features for Person Re-Identification: A Comprehensive Evaluation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7811218", "http://doi.org/10.1109/TSMC.2016.2645660"]}, {"id": "99eb4cea0d9bc9fe777a5c5172f8638a37a7f262", "title": "Person Re-identification by Exploiting Spatio-Temporal Cues and Multi-view Metric Learning", "addresses": [{"name": "University of Macau", "source_name": "University of Macau", "street_adddress": "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "lat": "22.12401870", "lng": "113.54510901", "type": "edu", "country": "China"}, {"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7480858", "http://doi.org/10.1109/LSP.2016.2574323"]}, {"id": "15a0546ee32ac391f342a6188446dd6699a1d7b8", "title": "Person reID while Crossing Different Cameras : Combination of Salient-Gaussian Weighted BossaNova and Fisher Vector Encodings", "addresses": [{"name": "Majmaah University", "source_name": "REGIM: Research Groups on Intelligent Machines University of Sfax, ENIS, Tunisia, College of AlGhat, Majmaah university, Riyadh, KSA", "street_adddress": "Al Majmaah 15341, Saudi Arabia", "lat": "25.86830810", "lng": "45.42090430", "type": "edu", "country": "Saudi Arabia"}, {"name": "University of Sfax, Tunisia", "source_name": "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "street_adddress": "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "lat": "34.73610660", "lng": "10.74272750", "type": "edu", "country": "Tunisia"}, {"name": "Tunisia", "source_name": "Tunisia", "street_adddress": "Tunisia", "lat": "33.88691700", "lng": "9.53749900", "type": "edu", "country": "Tunisia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/15a0/546ee32ac391f342a6188446dd6699a1d7b8.pdf"], "doi": []}, {"id": "37eff004718e0d66a249310ab5108206d158d945", "title": "DeepDiff: Learning deep difference features on human body parts for person re-identification", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://sites.nlsde.buaa.edu.cn/~shenghao/Download/publications/2017/4.DeepDiff%20Learning%20deep%20difference%20features%20on%20human%20body%20parts%20for%20person%20re-identification.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2017.02.055"]}, {"id": "1c8d585fb7e82abf43f45014494018a843774d2b", "title": "Consistent Iterative Multiview Transfer Learning for Person Re-identification", "addresses": [{"name": "Tongji University", "source_name": "Tongji University", "street_adddress": "\u540c\u6d4e\u5927\u5b66, 1239, \u56db\u5e73\u8def, \u6c5f\u6e7e, \u8679\u53e3\u533a, \u4e0a\u6d77\u5e02, 200092, \u4e2d\u56fd", "lat": "31.28473925", "lng": "121.49694909", "type": "edu", "country": "China"}, {"name": "Hong Kong Polytechnic University", "source_name": "Hong Kong Polytechnic University", "street_adddress": "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "lat": "22.30457200", "lng": "114.17976285", "type": "edu", "country": "China"}, {"name": "Harbin Institute of Technology", "source_name": "Harbin Institute of Technology", "street_adddress": "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "lat": "45.74139210", "lng": "126.62552755", "type": "edu", "country": "China"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1c8d/585fb7e82abf43f45014494018a843774d2b.pdf"], "doi": []}]}
\ No newline at end of file |