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Diffstat (limited to 'site/datasets/citations/imdb_face.json')
| -rw-r--r-- | site/datasets/citations/imdb_face.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/citations/imdb_face.json b/site/datasets/citations/imdb_face.json index c5592a2e..19d61151 100644 --- a/site/datasets/citations/imdb_face.json +++ b/site/datasets/citations/imdb_face.json @@ -1 +1 @@ -{"id": "9e31e77f9543ab42474ba4e9330676e18c242e72", "paper": {"paperId": "9e31e77f9543ab42474ba4e9330676e18c242e72", "key": "imdb_face", "title": "The Devil of Face Recognition is in the Noise", "journal": "Unknown", "address": "Nanyang Technological University", "country": "Singapore", "address_type": "edu", "lat": "1.34841040", "lng": "103.68297965", "pdf_link": "https://arxiv.org/pdf/1807.11649.pdf", "report_link": "papers/9e31e77f9543ab42474ba4e9330676e18c242e72.html", "citation_count": 5, "citations_geocoded": 1, "citations_unknown": 4, "citations_empty": 0, "citations_pdf": 3, "citations_doi": 1, "name": "IMDb Face"}, "address": ["Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", "Singapore"], "citations": [["Deep Face Recognition: A Survey", "", "Beijing University of Posts and Telecommunications", "Beijing University of Posts and Telecommunications", "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "39.96014880", "116.35193921", "edu", "", "China", "2018"]]}
\ No newline at end of file +{"id": "9e31e77f9543ab42474ba4e9330676e18c242e72", "paper": {"key": "imdb_face", "name": "IMDb Face", "title": "The Devil of Face Recognition is in the Noise", "year": "2018"}, "address": {"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"}, "citations": [{"id": "cd6aaa37fffd0b5c2320f386be322b8adaa1cc68", "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, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.06655.pdf"]}]}
\ No newline at end of file |
