Soft augmentation improves training for single homogeneous augmentations like random erasing, but gives no net benefit and can reduce corruption robustness when combined with diverse augmentations like TrivialAugment.
In: Proceedings of The 27th International Conference on Artificial Intelligence and Statistics
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Combined Image Data Augmentations diminish the benefits of Adaptive Label Smoothing
Soft augmentation improves training for single homogeneous augmentations like random erasing, but gives no net benefit and can reduce corruption robustness when combined with diverse augmentations like TrivialAugment.