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A Novel Cross-Perturbation for Single Domain Generalization
Horizontally, it applies image-level and feature-level perturbations to enhance the diversity of the training data, mitigating the issue of limited diversity in single-source domains.
Patch-aware Batch Normalization for Improving Cross-domain Robustness
By exploiting the differences between local patches of an image, our proposed PBN can effectively enhance the robustness of the model's parameters.
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