Chen-Yang Zhang

Symmetry and Asymmetry in Adaptive Selection and Fuzzy Fusion for Industrial Anomaly Detection: The MSPNet Framework

Unsupervised industrial anomaly detection learns from normal images and identifies defects unseen during training. In reconstruction-based detectors, the features used to represent normality and the residuals used to localize defects vary across images, yet these signals are commonly selected with fixed category-level...