Author

Guisheng Zhang

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Jul 2026

Structured Evidence Selection for Weakly Supervised Video Anomaly Detection

A Structured Evidence Selection framework (SESAD) that reformulates anomaly detection as a structured reasoning process over clip-level visual evidence and performs context-conditioned selection under scene and action constraints, thereby alleviating semantic entanglement under weak supervision.

Chenglizhao Chen, Tianxiang Nan, Wen Li et al. · arXiv.org · 0 citations