Injecting Explainability and Lightweight Design into Weakly Supervised Video Anomaly Detection Systems

Wen-Dong Jiang, Chih-Yung Chang, Hsiang-Chuan Chang +2

Weakly Supervised Monitoring Anomaly Detection (WSMAD) utilizes weak supervision learning to identify anomalies, a critical task for smart city monitoring. However, existing multim…