2 papers
cs.CV2025
GV-VAD : Exploring Video Generation for Weakly-Supervised Video Anomaly Detection
Suhang Cai, Xiaohao Peng, Chong Wang +2
Video anomaly detection (VAD) plays a critical role in public safety applications such as intelligent surveillance. However, the rarity, unpredictability, and high annotation cost…
cs.CV2024
Learn Suspected Anomalies from Event Prompts for Video Anomaly Detection
Chenchen Tao, Xiaohao Peng, Chong Wang +4
Most models for weakly supervised video anomaly detection (WS-VAD) rely on multiple instance learning, aiming to distinguish normal and abnormal snippets without specifying the typ…