Author

Zhao Wang

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Jul 2026

Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection

This work presents GLLS, a training-free framework for reference-guided multimodal in-context verification that combines a Global&Logic Stream, where SAM 3 extracts partially checkable visual facts, with a Fine-Grained&Actions Stream, where MCTS selects local evidence crops under a fixed budget.

R. Deng, Yundi Hu, Yi-Ming Zhong et al. · arXiv.org · 0 citations

Preprint Aug 2026

TD-VAD: Breaking Visual Dependence in Video Anomaly Detection with Text-Driven Learning

This work proposes a novel Text-Driven Video Anomaly Detection (TD-VAD) approach, which utilizes video-like text descriptions with temporal characteristics generated by LLM to train a VAD model, without any reliance on target-domain anomaly data.

Shuang-Qing Zhang, Lei-Lei Ma, Zhao Wang et al. · 2 citations