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Minjong Kim

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Preprint Aug 2026

Continuity-Driven Representation Learning for Industrial Defect Detection

A continuity-driven representation regularization framework that exploits normal-dominant regions as dense auxiliary supervision for industrial defect detection, particularly when annotated data are scarce is proposed.

Minjong Kim, Hyun Jun Kim, Jeongrae Kim et al. · 0 citations

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