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cs.CV2026
Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection
Jiahao Lyu, Minghua Zhao, Xuewen Huang +5
As a crucial element of public security, video anomaly detection (VAD) aims to measure deviations from normal patterns for various events in real-time surveillance systems. However…
cs.CV2024★ 2 cited
Appearance Blur-driven AutoEncoder and Motion-guided Memory Module for Video Anomaly Detection
Jiahao Lyu, Minghua Zhao, Jing Hu +4
Video anomaly detection (VAD) often learns the distribution of normal samples and detects the anomaly through measuring significant deviations, but the undesired generalization may…