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authorAdam Harvey <adam@ahprojects.com>2018-12-23 01:37:03 +0100
committerAdam Harvey <adam@ahprojects.com>2018-12-23 01:37:03 +0100
commit4452e02e8b04f3476273574a875bb60cfbb4568b (patch)
tree3ffa44f9621b736250a8b94da14a187dc785c2fe /site/datasets/citations/used.json
parent2a65f7a157bd4bace970cef73529867b0e0a374d (diff)
parent5340bee951c18910fd764241945f1f136b5a22b4 (diff)
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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": 2, "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", ""], ["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", ""], ["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", ""]]} \ No newline at end of file