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Author

Pei-Wu Qin

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Preprint Aug 2026

What Remains Normal? Clean Images Miss Useful Near-Defect Normal Patches for Anomaly Detection

Normal-only industrial anomaly detectors use patches from clean training images as normal references or reconstruction targets. This assumes that clean patches are sufficient for the normal regions encountered at test time. We test that assumption directly. On MVTec AD, admitting ground-truth-normal patches from real d...

Joongwon Chae, Runming Wang, Pei-Wu Qin · 0 citations
Preprint Aug 2026

What Memory Composition Does Not Tell Us About Anomaly Detection

This work uses CLEANCON, an out-of-bag cross-image support gate that changes candidate-image eligibility while fixing the representation, absolute mem- ory size, builder, and inference rule, to probe this coupling with sparse training contamination.

Joongwon Chae, Runming Wang, Pei-Wu Qin · 0 citations

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