Author

Zhao Wang

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Preprint Oct 2026

CORE: Contrast-and-Reflect for Self-Supervised Prompt Optimization in Anomaly Synthesis

Industrial anomaly detection (AD) is bottlenecked by the scarcity of anomalous samples, making high-fidelity anomaly synthesis crucial for improving downstream performance. However, existing methods either rely on scarce real anomaly references or auxiliary data, while lacking complex reasoning and iterative optimizati...

Hao-Xiang Rao, Fang Zhao, Zhao Wang et al. · 0 citations

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