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Jia-Wei Gu

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#small language model Preprint Sep 2026

Probe-VAD: Ordinal Likelihood Probing for Training-Free Video Anomaly Detection

Probe-VAD is proposed, an ordinal binary-probing framework that directly probes severity preferences from a frozen VLM, providing a simple interface for translating frozen VLM visual understanding into continuous, rank-sensitive anomaly scores without task-specific training or caption-based compression.

Jia-Wei Gu, Qi-Lin Zhao, Teng-Kuo Guo et al. · 0 citations