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3d anomaly detection 1boundary-aware refinement 1industrial inspection 1memory networks 1prototype learning 1

From the 1 of 1 linked paper with an AI index.

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1 paper

cs.CV2026

M2P-AD: Memory-to-Prototype Learning with Boundary-aware Score Refinement for 3D Anomaly Detection

Seyoung Jeong, Jong Pil Yun, Sang Jun Lee

The paper introduces M2P-AD, a 3D anomaly detection model that learns prototype representations of normal features and refines anomaly scores using object boundary information to r…