no code implementations • 4 Jan 2024 • Rui Ma, Qiang Zhou, Bangjun Xiao, Yizhu Jin, Daquan Zhou, Xiuyu Li, Aishani Singh, Yi Qu, Kurt Keutzer, Xiaodong Xie, Jingtong Hu, Zhen Dong, Shanghang Zhang
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1 code implementation • 26 Nov 2023 • Yixuan Zhou, Yi Qu, Xing Xu, Fumin Shen, Jingkuan Song, HengTao Shen
In the proposed BN-WVAD, we leverage the Divergence of Feature from Mean vector (DFM) of BatchNorm as a reliable abnormality criterion to discern potential abnormal snippets in abnormal videos.
Anomaly Detection In Surveillance Videos Video Anomaly Detection
1 code implementation • ICCV 2023 • Yixuan Zhou, Yi Qu, Xing Xu, HengTao Shen
To overcome this bottleneck, we leverage class priors to restrict the generalization scope of the class-agnostic SAM and propose a class-aware smoothness optimization algorithm named Imbalanced-SAM (ImbSAM).
Semi-supervised Anomaly Detection Supervised Anomaly Detection
1 code implementation • 30 May 2023 • Yixuan Zhou, Peiyu Yang, Yi Qu, Xing Xu, Zhe Sun, Andrzej Cichocki
Unlike existing SSAD methods that resort to strict loss supervision, AnoOnly suspends it and introduces a form of weak supervision for normal data.
Semi-supervised Anomaly Detection Supervised Anomaly Detection +1