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O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning

Hugging Face Daily Papers · 2026-07-20 Cached

O-VAD introduces a training-free agentic framework for industrial video anomaly detection that tracks object state evolution over time and reasons over temporal trajectories to identify abnormal objects, outperforming existing VLM and VAD methods on three datasets.

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