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Mateusz Nowak

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Preprint Aug 2026

CDGP: Contrastive Dual Gaussian Processes for Weakly Supervised Anomaly Segmentation

Industrial visual inspection must both decide whether a product is defective and localize the defect, yet pixel-level masks are costly to collect at scale. Most anomaly-segmentation methods learn only from defect-free images and score deviations from normality. A true defect and an unusual-but-normal region, however, c...

Seung-Jun Chu, Seokhee Han, Mateusz Nowak et al. · 0 citations
Preprint Aug 2026

SPARC: Subspace Position-Aware Robust Few-Shot Calibration for Distribution-Shifted Industrial Anomaly Detection

SPARC is presented, a few-shot calibration method that intercepts patch features between encoder and detector and removes a closed-form, spatially indexed estimate of deployment-time nuisance through per-cell subspace projection and uses the algebraic saturation rank on the encoder's native patch grid.

Seokhee Han, Seung-Jun Chu, Mateusz Nowak et al. · 1 citation

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