Preprint
Aug 2026
TD-VAD: Breaking Visual Dependence in Video Anomaly Detection with Text-Driven Learning
This work proposes a novel Text-Driven Video Anomaly Detection (TD-VAD) approach, which utilizes video-like text descriptions with temporal characteristics generated by LLM to train a VAD model, without any reliance on target-domain anomaly data.
Shuang-Qing Zhang, Lei-Lei Ma, Zhao Wang et al.
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