Unbiased multiple instance learning for weakly supervised video anomaly detection

Unbiased multiple instance learning for weakly supervised video anomaly detection

Weakly Supervised Video Anomaly Detection (WSVAD) is challenging because the binary anomaly label is only given on the video level, but the output requires snippetlevel predictions. So, Multiple Instance Learning (MIL) is prevailing in WSVAD. However, MIL is notoriously known to suffer from man...

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書目詳細資料
Main Authors:	Lv, Hui, Yue, Zhongqi, Sun, Qianru, Luo, Bin, Cui, Zhen, Zhang, Hanwang
其他作者:	School of Computer Science and Engineering
格式:	Conference or Workshop Item
語言:	English
出版:	2023
主題:	Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Multiple Instance Learning Weakly Supervised Video Anomaly Detection
在線閱讀:	https://hdl.handle.net/10356/169509 https://cvpr2023.thecvf.com/Conferences/2023
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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