diff options
Diffstat (limited to 'site/datasets/final/uccs.json')
| -rw-r--r-- | site/datasets/final/uccs.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/final/uccs.json b/site/datasets/final/uccs.json index f302acfa..301746c5 100644 --- a/site/datasets/final/uccs.json +++ b/site/datasets/final/uccs.json @@ -1 +1 @@ -{"id": "07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1", "paper": {"paper_id": "07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1", "key": "uccs", "title": "Large scale unconstrained open set face database", "year": 2013, "pdf": "http://www.vast.uccs.edu/~tboult/PAPERS/BTAS13-Sapkota-Boult-UCCSFaceDB.pdf", "address": "", "name": "UCCS"}, "address": null, "additional_papers": [], "citations": [{"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"address": "University of Notre Dame", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1805.11529.pdf"}, {"id": "288d2704205d9ca68660b9f3a8fda17e18329c13", "title": "Studying Very Low Resolution Recognition Using Deep Networks", "addresses": [{"address": "Beckman Institute", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu"}], "year": 2016, "pdf": "http://arxiv.org/pdf/1601.04153v2.pdf"}, {"id": "d4f1eb008eb80595bcfdac368e23ae9754e1e745", "title": "Unconstrained Face Detection and Open-Set Face Recognition Challenge", "addresses": [{"address": "University of Colorado, Colorado Springs", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu"}], "year": "2017", "pdf": "https://arxiv.org/pdf/1708.02337.pdf"}]}
\ No newline at end of file +{"id": "07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1", "dataset": {"key": "uccs", "name_short": "UCCS", "using": "N", "ft_share": "1", "subset_of": "", "superset_of": "", "name_full": "UnConstrained College Students Dataset", "url": "http://vast.uccs.edu/Opensetface/", "added_on": "", "faces": "", "pdf_paper": "N", "comments": "dataset was created during workshop, no paper", "": "", "relevance": "10"}, "statistics": {"key": "uccs", "name": "UCCS", "berit": "Y", "charlie": "", "adam": "", "priority": "", "wild": "Y", "indoor": "", "outdoor": "Y", "cyberspace": "", "names": "", "downloaded": "", "year_start": "2012", "year_end": "2013", "year_published": "2018", "ongoing": "", "images": "", "videos": "", "faces_unique": "1,732 ", "total_faces": "", "img_per_person": "10", "num_cameras": "", "faces_persons": "", "female": "", "male": "", "landmarks": "", "width": "5184", "height": "3456", "color": "Y", "gray": "", "derivative_of": "", "tags": "fr, fd, pr_id", "source": "cctv_outdoor", "purpose_short": "outside cctv on campus face recognition", "size_gb": "", "agreement": "", "agree_requied": "", "agreement_signed": "", "comment": "", "comment 2": "", "comment 3": "", "": ""}, "paper": {"paper_id": "07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1", "key": "uccs", "title": "Large scale unconstrained open set face database", "year": 2013, "pdf": "http://www.vast.uccs.edu/~tboult/PAPERS/BTAS13-Sapkota-Boult-UCCSFaceDB.pdf", "address": "", "name": "UCCS"}, "address": null, "additional_papers": [], "citations": [{"id": "841855205818d3a6d6f85ec17a22515f4f062882", "title": "Low Resolution Face Recognition in the Wild", "addresses": [{"address": "University of Notre Dame", "lat": "41.70456775", "lng": "-86.23822026", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1805.11529.pdf"}, {"id": "288d2704205d9ca68660b9f3a8fda17e18329c13", "title": "Studying Very Low Resolution Recognition Using Deep Networks", "addresses": [{"address": "Beckman Institute", "lat": "40.11571585", "lng": "-88.22750772", "type": "edu"}], "year": 2016, "pdf": "http://arxiv.org/pdf/1601.04153v2.pdf"}, {"id": "d4f1eb008eb80595bcfdac368e23ae9754e1e745", "title": "Unconstrained Face Detection and Open-Set Face Recognition Challenge", "addresses": [{"address": "University of Colorado, Colorado Springs", "lat": "38.89207560", "lng": "-104.79716389", "type": "edu"}], "year": "2017", "pdf": "https://arxiv.org/pdf/1708.02337.pdf"}]}
\ No newline at end of file |