2 papers
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.CV2025
VADMamba: Exploring State Space Models for Fast Video Anomaly Detection
Jiahao Lyu, Minghua Zhao, Jing Hu +3
Video anomaly detection (VAD) methods are mostly CNN-based or Transformer-based, achieving impressive results, but the focus on detection accuracy often comes at the expense of inf…