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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. · 0 citations
Conference Open access Sep 2026

ViSA-Gait: Leveraging Vision Foundation Models for Semantic Anchored Gait Recognition

Gait recognition has achieved remarkable success in constrained environments, yet its performance often degrades significantly in cross-domain and cross-vertical-view scenarios. This is primarily due to the fact that domain-specific silhouette geometry causes models to overfit to extrinsic geometric characteristics rat...

Xiang-Ru Li, De-Qiang Yin, Yifan Xie et al. · 0 citations

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