Shradha Mahadev Naik

Meta-learning guided weakly supervised video anomaly detection with dual memory and temporal attention

Weakly supervised video anomaly detection (WSAD) aims to localise anomalous events in untrimmed videos using only video-level labels. Existing multiple instance learning (MIL) methods often suffer from poor generalisation to unseen anomaly types, unstable temporal attention, and limited adaptability when only a few lab...