Video anomaly detection is misframed by multi-scene LLM models that reduce the task to semantic action recognition instead of capturing local scene normality, requiring a return to single-scene spatially-aware methods.
Vadtree: Explainable training-free video anomaly detection via hierarchical granularity- aware tree
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Is Video Anomaly Detection Misframed? Evidence from LLM-Based and Multi-Scene Models
Video anomaly detection is misframed by multi-scene LLM models that reduce the task to semantic action recognition instead of capturing local scene normality, requiring a return to single-scene spatially-aware methods.