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cs.CV2026
VADMamba++: Efficient Video Anomaly Detection via Hybrid Modeling in Grayscale Space
Jihao Lyu, Minghua Zhao, Jing Hu +3
VADMamba pioneered the introduction of Mamba to Video Anomaly Detection (VAD), achieving high accuracy and fast inference through hybrid proxy tasks. Nevertheless, its heavy relian…
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…