2025
SUVAD: Semantic Understanding Based Video Anomaly Detection Using MLLM
ICASSP 2025accepted
Video anomaly detection (VAD) aims at detecting anomalous events in videos. Most existing VAD methods distinguish anomalies by learning visual features of the video, which usually face several challenges in real-world applications. First, these methods are mostly scene-dependent, whose performances…