DINO-QPM: Adapting Visual Foundation Models for Globally Interpretable Image Classification
arXiv:2604.07166v1 Announce Type: cross
Abstract: Although visual foundation models like DINOv2 provide state-of-the-art performance as feature extractors, their complex, high-dimensional representations create substantial hurdles for interpretability…