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Diffstat (limited to 'site/datasets/final/cuhk03.json')
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diff --git a/site/datasets/final/cuhk03.json b/site/datasets/final/cuhk03.json index 764f2cbc..2f6fa707 100644 --- a/site/datasets/final/cuhk03.json +++ b/site/datasets/final/cuhk03.json @@ -1 +1 @@ -{"id": "6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3", "dataset": {"key": "cuhk03", "name_short": "CUHK03", "name_display": "CUHK03 Dataset", "name_full": "China University of Hong Kong Person Re-identification Dataset \"Campus 03\"", "purpose": "first person re-identification dataset that is large enough for deep learning", "url": "http://www.ee.cuhk.edu.hk/~xgwang/CUHK_identification.html", "downloaded": "", "mp_pub": "N", "ft_share": "Y", "wild": "Y", "indoor": "", "outdoor": "Y", "campus": "Y", "cyberspace": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "parent": "", "child": "", "source": "cctv_outdoor", "usernames": "", "names": "", "year_start": "", "year_end": "", "year_published": "2014", "ongoing": "", "images": "13,164 ", "videos": "", "identities": "1,360 ", "img_per_person": "", "num_cameras": "10", "faces_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "derivative_of": "", "tags": "pr_id, ped_detect ", "size_gb": "", "agreement": "", "agree_requied": "", "agreement_signed": "", "downloaded_from": "", "comment": "", "adam": "", "berit": "Y", "charlie": "Y", "notes": ""}, "paper": {"paper_id": "6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3", "key": "cuhk03", "title": "DeepReID: Deep Filter Pairing Neural Network for Person Re-identification", "year": "2014", "pdf": [], "address": "", "name": "CUHK03", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909421"]}, "addresses": [], "additional_papers": [], "citations": [{"id": "47dc53371cfeec1b78a35e0e5f066d10b1826c43", "title": "Deep Cross-Modality Alignment for Multi-Shot Person Re-IDentification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong 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Re-identification by Mid-level Attribute and Part-based Identity Learning", "addresses": [{"name": "East China Normal University", "source_name": "East China Normal University", "street_adddress": "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "lat": "31.22849230", "lng": "121.40211389", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e1af/55ad7bb26e5e1acde3ec6c5c43cffe884b04.pdf"]}, {"id": "5696e95cb9538fe5f5cc27cd47543b62761021b7", "title": "A loss combination based deep model for person re-identification", "addresses": [{"name": "Zhejiang Sci-Tech University", "source_name": "College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China", "street_adddress": "Hangzhou, Zhejiang, China", "lat": "30.27408400", "lng": "120.15507000", "type": "edu", "country": "China"}, {"name": 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"source_name": "Gwangju Institute of Science and Technology", "street_adddress": "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "lat": "35.22652880", "lng": "126.83998700", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": []}, {"id": "a29566375836f37173ccaffa47dea25eb1240187", "title": "Vehicle Re-Identification in Context", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.09409.pdf"]}, {"id": "9b17f368d038a7d7e4304089c0270e81f0b4eb6c", "title": "Discriminative Structural Metric Learning for Person Reidentification in Visual Internet of Things", "addresses": [{"name": "Tianjin Normal 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for Person Re-Identification", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01438.pdf"]}, {"id": "8552f6e3f73db564a2e625cceb1d1348d70b598c", "title": "Learning Compact Appearance Representation for Video-based Person Re-Identification", "addresses": [{"name": "Shandong University", "source_name": "Shandong University", "street_adddress": "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "lat": "36.36934730", "lng": "120.67381800", "type": "edu", "country": 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"1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "lat": "1.29889260", "lng": "103.78731070", "type": "edu", "country": "Singapore"}, {"name": "Nanyang Technological University", "source_name": "Nanyang Technological University", "street_adddress": "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "lat": "1.34841040", "lng": "103.68297965", "type": "edu", "country": "Singapore"}], "year": "2017", "pdf": ["http://eeeweba.ntu.edu.sg/computervision/Research%20Papers/2017/Person%20Re-identification%20Using%20Multiple%20Egocentric%20Views.pdf"]}, {"id": "dcca36085752eec824d489ed556378159464a0c8", "title": "Person Re-Identification via Recurrent Feature Aggregation", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, 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"country": "Japan"}, {"name": "National Institute of Informatics, Japan, Tokyo, Japan", "source_name": "National Institute of Informatics, Japan, Tokyo, Japan", "street_adddress": "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "lat": "35.69248530", "lng": "139.75825330", "type": "edu", "country": "Japan"}], "year": "2018", "pdf": []}, {"id": "26d3f57dd09efff6315ae0064cdad4877f5297d7", "title": "Multiple Object Tracking by Learning Feature Representation and Distance Metric Jointly", "addresses": [{"name": "Huazhong University of Science and Technology", "source_name": "Huazhong University of Science and Technology", "street_adddress": "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "lat": "30.50975370", "lng": "114.40628810", "type": "edu", "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": "2018", "pdf": ["https://arxiv.org/pdf/1802.03252.pdf"]}, {"id": "8824638e8077f62283d292804006ce94c92764bf", "title": "M2M-GAN: Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification", "addresses": [{"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/1811.03768.pdf"]}, {"id": "2d4c5768a65f05f96ae71a269422d0c3d371b26a", "title": "Semantics-Aware Deep 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