VERA adapts a frozen vision-language model to video anomaly detection by learning prompt questions through verbalized learning, achieving strong explainable detection on UCF-Crime and XD-Violence.
Mgfn: Magnitude- contrastive glance-and-focus network for weakly-supervised video anomaly detection
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VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models
VERA adapts a frozen vision-language model to video anomaly detection by learning prompt questions through verbalized learning, achieving strong explainable detection on UCF-Crime and XD-Violence.