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cs.CV2025
The Power of Many: Synergistic Unification of Diverse Augmentations for Efficient Adversarial Robustness
Wang Yu-Hang, Shiwei Li, Jianxiang Liao +3
Adversarial perturbations pose a significant threat to deep learning models. Adversarial Training (AT), the predominant defense method, faces challenges of high computational costs…
cs.CV2025
Patch-Wise Hypergraph Contrastive Learning with Dual Normal Distribution Weighting for Multi-Domain Stain Transfer
Haiyan Wei, Hangrui Xu, Bingxu Zhu +4
Virtual stain transfer leverages computer-assisted technology to transform the histochemical staining patterns of tissue samples into other staining types. However, existing method…