diff options
Diffstat (limited to 'site/datasets/verified/mafa.json')
| -rw-r--r-- | site/datasets/verified/mafa.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/verified/mafa.json b/site/datasets/verified/mafa.json index eab44036..75670e27 100644 --- a/site/datasets/verified/mafa.json +++ b/site/datasets/verified/mafa.json @@ -1 +1 @@ -{"id": "9cc8cf0c7d7fa7607659921b6ff657e17e135ecc", "paper": {"key": "mafa", "name": "MAsked FAces", "title": "Detecting Masked Faces in the Wild with LLE-CNNs", "year": "2017", "addresses": []}, "citations": [{"id": "96f069b1bd2e4c41c8eb6dc3790c981cf2d67604", "title": "Adversarial Occlusion-aware Face Detection", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/96f0/69b1bd2e4c41c8eb6dc3790c981cf2d67604.pdf"], "doi": []}, {"id": "3600aac8edc5bc015e69f2ffa893c21b6d4e1057", "title": "Face Attention Network: An Effective Face Detector for the Occluded Faces", "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"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07246.pdf"], "doi": []}, {"id": "72cbbdee4f6eeee8b7dd22cea6092c532271009f", "title": "Masquer Hunter: Adversarial Occlusion-aware Face Detection", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05188.pdf"], "doi": []}, {"id": "774c9a3d7a38060550ed47ce8a3e4177fa1115e1", "title": "Improving Face Detection Performance with 3D-Rendered Synthetic Data", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.07363.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "9cc8cf0c7d7fa7607659921b6ff657e17e135ecc", "paper": {"key": "mafa", "name": "MAsked FAces", "title": "Detecting Masked Faces in the Wild with LLE-CNNs", "year": "2017", "addresses": [], "vetting": {"yes": 4, "no": 1, "total": 5}}, "citations": [{"id": "96f069b1bd2e4c41c8eb6dc3790c981cf2d67604", "title": "Adversarial Occlusion-aware Face Detection", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/96f0/69b1bd2e4c41c8eb6dc3790c981cf2d67604.pdf"], "doi": []}, {"id": "3600aac8edc5bc015e69f2ffa893c21b6d4e1057", "title": "Face Attention Network: An Effective Face Detector for the Occluded Faces", "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"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.07246.pdf"], "doi": []}, {"id": "72cbbdee4f6eeee8b7dd22cea6092c532271009f", "title": "Masquer Hunter: Adversarial Occlusion-aware Face Detection", "addresses": [{"name": "National Laboratory of Pattern Recognition", "source_name": "National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China", "street_adddress": "China, Beijing, Haidian, Zhongguancun South 1st Alley, \u4e2d\u5173\u6751\u5357\u4e00\u6761", "lat": "39.98177000", "lng": "116.33008600", "type": "edu", "country": "China"}, {"name": "University of Chinese Academy of Sciences", "source_name": "University of Chinese Academy of Sciences", "street_adddress": "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "lat": "39.90828040", "lng": "116.24585270", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05188.pdf"], "doi": []}, {"id": "774c9a3d7a38060550ed47ce8a3e4177fa1115e1", "title": "Improving Face Detection Performance with 3D-Rendered Synthetic Data", "addresses": [{"name": "University of Amsterdam", "source_name": "University of Amsterdam", "street_adddress": "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "lat": "52.35536550", "lng": "4.95016440", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.07363.pdf"], "doi": []}]}
\ No newline at end of file |