Qinghao Kong

Unsupervised Video Anomaly Detection Based on Graph Attention Propagation and Semantic Information

A novel unsupervised VAD framework that achieves state-of-the-art performance under unsupervised and zero-shot settings, significantly outperforming existing LLM based VAD methods and even several weakly supervised approaches, which fully verifies its effectiveness and robustness.