diff options
Diffstat (limited to 'site/datasets/verified/used.json')
| -rw-r--r-- | site/datasets/verified/used.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/verified/used.json b/site/datasets/verified/used.json index 83688224..cd3044d3 100644 --- a/site/datasets/verified/used.json +++ b/site/datasets/verified/used.json @@ -1 +1 @@ -{"id": "8627f019882b024aef92e4eb9355c499c733e5b7", "paper": {"key": "used", "name": "USED Social Event Dataset", "title": "USED: a large-scale social event detection dataset", "year": "2016", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}]}, "citations": [{"id": "d1bca67dd26d719b3e7a51acecd7c54c7b78b34a", "title": "Spatial Pyramid Convolutional Neural Network for Social Event Detection in Static Image", "addresses": [{"name": "Kumamoto University", "source_name": "Kumamoto University", "street_adddress": "\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", "lat": "32.81641780", "lng": "130.72703969", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.04062.pdf"], "doi": []}, {"id": "27f8b01e628f20ebfcb58d14ea40573d351bbaad", "title": "Events based Multimedia Indexing and Retrieval", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/27f8/b01e628f20ebfcb58d14ea40573d351bbaad.pdf"], "doi": []}, {"id": "4bf85ef995c684b841d0a5a002d175fadd922ff0", "title": "Ensemble of Deep Models for Event Recognition", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3199668"]}]}
\ No newline at end of file +{"id": "8627f019882b024aef92e4eb9355c499c733e5b7", "paper": {"key": "used", "name": "USED Social Event Dataset", "title": "USED: a large-scale social event detection dataset", "year": "2016", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "vetting": {"yes": 3, "no": 4, "total": 7}}, "citations": [{"id": "d1bca67dd26d719b3e7a51acecd7c54c7b78b34a", "title": "Spatial Pyramid Convolutional Neural Network for Social Event Detection in Static Image", "addresses": [{"name": "Kumamoto University", "source_name": "Kumamoto University", "street_adddress": "\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", "lat": "32.81641780", "lng": "130.72703969", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.04062.pdf"], "doi": []}, {"id": "27f8b01e628f20ebfcb58d14ea40573d351bbaad", "title": "Events based Multimedia Indexing and Retrieval", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/27f8/b01e628f20ebfcb58d14ea40573d351bbaad.pdf"], "doi": []}, {"id": "4bf85ef995c684b841d0a5a002d175fadd922ff0", "title": "Ensemble of Deep Models for Event Recognition", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3199668"]}]}
\ No newline at end of file |