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Diffstat (limited to 'site/datasets/final/ijb_b.json')
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diff --git a/site/datasets/final/ijb_b.json b/site/datasets/final/ijb_b.json new file mode 100644 index 00000000..49a5ce7d --- /dev/null +++ b/site/datasets/final/ijb_b.json @@ -0,0 +1 @@ +{"id": "0cb2dd5f178e3a297a0c33068961018659d0f443", "dataset": {"key": "ijb_b", "name_short": "IJB-B", "name_display": "IJB-B", "name_full": "IARPA Janus Benchmark B", "purpose": "face recognition challenge by NIST in crowded images", "comment": "", "funded_by": "", "license": "", "url": "https://www.nist.gov/programs-projects/face-challenges", "dl_im": "N", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "source": "www", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2017", "ongoing": "", "images": "11,754 ", "videos": "7,011 ", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "fr", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": ""}, "paper": {"paper_id": "0cb2dd5f178e3a297a0c33068961018659d0f443", "key": "ijb_b", "title": "IARPA Janus Benchmark-B Face Dataset", "year": "2017", "pdf": [], "address": "", "name": "IJB-B", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014821"]}, "addresses": [], "additional_papers": [], "citations": [{"id": "4f623e3821d14553b3b286e20910db9225fb723f", "title": "Audio-Visual Person Recognition in Multimedia Data From the Iarpa Janus Program", "addresses": [{"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", "lat": "39.32990130", "lng": "-76.62051770", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202018/pdfs/0003031.pdf"]}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"]}, {"id": "21117380118ddce47b3c515c5228372c513e61ba", "title": "Deep Face Recognition: A Survey", "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, 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"lng": "129.32318360", "type": "edu", "country": "South Korea"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06405.pdf"]}, {"id": "e83fb7d5510f777048abb2015456e60b1d5eaa65", "title": "Extended YouTube Faces: a Dataset for Heterogeneous Open-Set Face Identification", "addresses": [{"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": []}, {"id": "49d9a2220843e2de86a37599ded349ce936565e4", "title": "On Hallucinating Context and Background Pixels from a Face Mask using Multi-scale GANs", "addresses": [{"name": "University of Notre Dame", "source_name": "University of Notre Dame", "street_adddress": "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07104.pdf"]}, {"id": "3b3941524d97e7f778367a1250ba1efb9205d5fc", "title": "Open Source Face Recognition Performance Evaluation Package", "addresses": [{"name": "University of Houston", "source_name": "University of Houston", "street_adddress": "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "lat": "29.72079020", "lng": "-95.34406271", "type": "edu", "country": "United States"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.09447.pdf"]}, {"id": "05ee231749c9ce97f036c71c1d2d599d660a8c81", "title": "GhostVLAD for set-based face recognition", "addresses": [{"name": "University of Oxford", "source_name": "University of Oxford", "street_adddress": "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": 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