Discovery Brief: CutMix : Regularization Strategy to Train Strong Classifiers with Localizable features TL;DR: a simple, scalable, effective data augmentation method to improve generalization on regression problems.
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TL;DR: a simple, scalable, effective data augmentation method to improve generalization on regression problems. CutMix : Regularization Strategy to Train Strong Classifiers with Localizable features
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- TL;DR: a simple, scalable, effective data augmentation method to improve generalization on regression problems.
- CutMix : Regularization Strategy to Train Strong Classifiers with Localizable features
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![[NeurIPS 2022] C-Mixup: Improving Generalization in Regression](https://i.ytimg.com/vi/7HuDz9baCmU/mqdefault.jpg)
