Linliang Zhang

TASG-VAD: Weakly Supervised Video Anomaly Detection via Temporal Variation Attention and Adaptive Saliency Guidance

Weakly supervised video anomaly detection (WSVAD) is important in intelligent surveillance. Existing methods often overemphasize salient abnormal segments, overlook subtle clues, and model temporal dependencies ineffectively. To address these issues, we propose TASG-VAD, an efficient anomaly detection framework. The pr...