Conference Information |
Committee |
ME IEICE-EMM IEICE-IE IEICE-LOIS IEE-CMN IPSJ-AVM |
Conference Date |
2022-09-13 - 2022-09-14 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Keio Univ. Yagami Campus (Hybrid) |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
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Paper Information |
Registration To |
IEICE-LOIS |
Conference Code |
2022-09-ME-EMM-IE-LOIS-CMN-AVM |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Video Anomaly Detection Method using Deep Learning Models and Crowd Workers |
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1st Author's Name |
Ryuya Itano |
1st Author's Affiliation |
Graduate School of Doshisha University (Doshisha Univ.) |
2nd Author's Name |
Tomoya Nohara |
2nd Author's Affiliation |
Doshisha University (Doshisha Univ.) |
3rd Author's Name |
Takahiro Koita |
3rd Author's Affiliation |
Graduate School of Doshisha University (Doshisha Univ.) |
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Speaker |
Author-1 |
Date Time |
2022-09-13 13:40:00 |
Presentation Time |
20 minutes |
Registration for |
IEICE-LOIS |
Paper # |
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Volume (vol) |
vol.46 |
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