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Open access Oct 2026

Multi-view patch inference with frozen DINOv3 for industrial anomaly detection

Industrial anomaly detection is a critical task in automated visual inspection systems, aiming to identify subtle defects without relying on large-scale anomaly annotations. Recently, pretrained vision transformers such as DINO have demonstrated strong feature representation capabilities and have been widely adopted in...

Chao-Qun Wang, Wen-Jing Zhang, Bo Qi et al. · 0 citations

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