Author

Yizhe Xiong

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2026

TCFMAD: Tri-Consistency Foundation Model-Based Few-Shot Manufacturing Anomaly Detection

Anomaly detection (AD) aims to distinguish anomalous samples from normal ones and localize the corresponding anomalous regions in real-world manufacturing environments. Benefiting from the strong visual priors of foundation models (FMs), few-shot FM-based methods can rapidly adapt to new manufacturing categories using...

Jun-Jie Ke, Si-Cheng Zhao, Xin-Hao Xu et al. · IEEE Transactions on Automat... · 0 citations

Preprint Aug 2026

Towards Purified Multi-Label Test-Time Adaptation of Vision-Language Models

PuRF is introduced, a novel PuRiFication-driven cache-based method for multi-label test-time adaptation of vision-language models that consistently outperforms state-of-the-art methods on ViT-B/32 across five datasets.

Yiwen Liang, Hui Chen, Yizhe Xiong et al. · 0 citations