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authorjules@lens <julescarbon@gmail.com>2019-02-13 13:56:33 +0100
committerjules@lens <julescarbon@gmail.com>2019-02-13 13:56:33 +0100
commit091267722c34e23ec0263c7ac0e294e2ca0586ca (patch)
treeeb9b3f1e09ee494c8c6e0b7f2d92d4993027d527 /site/datasets/citations/used.json
parent857a8a5f13fa63e7cbc56bfee0361c8c02860424 (diff)
new build
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-rw-r--r--site/datasets/citations/used.json2
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/citations/used.json b/site/datasets/citations/used.json
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-{"id": "8627f019882b024aef92e4eb9355c499c733e5b7", "paper": {"paperId": "8627f019882b024aef92e4eb9355c499c733e5b7", "key": "used", "title": "USED: a large-scale social event detection dataset", "journal": "", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "http://doi.acm.org/10.1145/2910017.2910624", "report_link": "papers/8627f019882b024aef92e4eb9355c499c733e5b7.html", "citation_count": 7, "citations_geocoded": 3, "citations_unknown": 4, "citations_empty": 0, "citations_pdf": 3, "citations_doi": 4, "name": "USED Social Event Dataset"}, "address": null, "citations": [["Spatial Pyramid Convolutional Neural Network for Social Event Detection in Static Image", "", "Kumamoto University", "Kumamoto University", "\u718a\u672c\u5927\u5b66\u9ed2\u9aea\u30ad\u30e3\u30f3\u30d1\u30b9, \u718a\u672c\u83ca\u967d\u7dda, \u4e2d\u592e\u533a, \u718a\u672c\u5e02, \u718a\u672c\u770c, \u4e5d\u5dde\u5730\u65b9, 860-0863, \u65e5\u672c", "32.81641780", "130.72703969", "edu", "", 2016], ["A pool of deep models for event recognition", "Department of Information Engineering and Computer Science, University of Trento, Italy", "University of Trento", "University of Trento", "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "46.06588360", "11.11598940", "edu", "", 2017], ["Ensemble of Deep Models for Event Recognition", "University of Trento, Italy, Via Sommarive, Trento (Italy)", "University of Trento", "University of Trento", "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "46.06588360", "11.11598940", "edu", "", "2018"]]} \ No newline at end of file
+{"id": "8627f019882b024aef92e4eb9355c499c733e5b7", "paper": {"paperId": "8627f019882b024aef92e4eb9355c499c733e5b7", "key": "used", "title": "USED: a large-scale social event detection dataset", "journal": "", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "http://doi.acm.org/10.1145/2910017.2910624", "report_link": "papers/8627f019882b024aef92e4eb9355c499c733e5b7.html", "citation_count": 7, "citations_geocoded": 1, "citations_unknown": 6, "citations_empty": 0, "citations_pdf": 3, "citations_doi": 4, "name": "USED Social Event Dataset"}, "address": null, "citations": [["Spatial Pyramid Convolutional Neural Network for Social Event Detection in Static Image", "", "Kumamoto University", "Kumamoto University", "\u718a\u672c\u5927\u5b66\u9ed2\u9aea\u30ad\u30e3\u30f3\u30d1\u30b9, \u718a\u672c\u83ca\u967d\u7dda, \u4e2d\u592e\u533a, \u718a\u672c\u5e02, \u718a\u672c\u770c, \u4e5d\u5dde\u5730\u65b9, 860-0863, \u65e5\u672c", "32.81641780", "130.72703969", "edu", "", 2016]]} \ No newline at end of file