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2026

Irregularity-Aware 3-D Anomaly Detection for Product Quality Control

Point cloud anomaly detection, aimed at detecting subtle geometric deviations, has emerged as a critical task in quality control. While existing methods predominantly employ prototype-based frameworks that quantify anomalies via normal prototypical distances, we identify a fundamental limitation: such approaches neglec...

Yu-qi Cheng, Yun-Kang Cao, Haiming Yao et al. · 0 citations
Aug 2026

Imbalance-aware spectral classification via logit-label adjustment and multi-expert mutual learning.

BACKGROUND The integration of deep learning with molecular vibrational spectroscopy has been widely investigated in domains such as disease diagnosis and food safety. However, existing spectral recognition methods assume a balanced class distribution in the training set, where each class contains an equal number of sam...

Wei Luo, Haiming Yao, Tao Zhou et al. · 0 citations

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