Se-Hoon Jung

Effective industrial anomaly localization using class-conditioned irredundant feature patch selection

A class-conditioned irredundant feature patch selection procedure that suppresses near-duplicate candidates within each class, maximizes the dispersion of selected representatives under a fixed memory budget, and leaves the backbone and scoring rule unchanged is introduced.