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VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization
Invariance to diverse types of image corruption, such as noise, blurring, or colour shifts, is essential to establish robust models in computer vision. Data augmentation has been the major approach in improving the robustness against common corruptions. However, the samples produced by popular augme
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