Jia-Chang Feng

MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection

Weakly supervised video anomaly detection (WS-VAD) is to distinguish anomalies from normal events based on discriminative representations. Most existing works are limited in insufficient video representations. In this work, we develop a multiple instance self-training framework (MIST) to efficiently…