CoReVAD applies a single frozen VLM with local response cleaning and temporal refinement steps to deliver competitive training-free video anomaly detection plus explanations on UCF-Crime and XD-Violence.
arXiv preprint arXiv:2401.05702 (2024)
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LATERN reformulates video anomaly detection as temporal evidence aggregation via context-aware scoring (CEA) and recursive aggregation (REA) to improve accuracy and coherence for frozen VLMs on benchmarks like UCF-Crime.
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CoReVAD: A Contextual Reasoning Framework for Training-Free Video Anomaly Detection
CoReVAD applies a single frozen VLM with local response cleaning and temporal refinement steps to deliver competitive training-free video anomaly detection plus explanations on UCF-Crime and XD-Violence.
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LATERN: Test-Time Context-Aware Explainable Video Anomaly Detection
LATERN reformulates video anomaly detection as temporal evidence aggregation via context-aware scoring (CEA) and recursive aggregation (REA) to improve accuracy and coherence for frozen VLMs on benchmarks like UCF-Crime.