Abstract: Adversarial attacks introduced subtle perturbations to input images to mislead classification models into producing incorrect predictions. Training models using adversarial examples defended ...

Abstract: Aiming at the challenges of high intra-class disparity and low inter-class disparity in fine-grained image classification, a multi-branch fine-grained image classification method based on ...