CutMix
CutMix
**CutMix** is an image data augmentation strategy. Instead of simply removing pixels as in [Cutout](https://paperswithcode.com/method/cutout), we replace the removed regions with a patch from another image. The ground truth labels are also mixed proportionally to the number of pixels of combined images. The added patches further enhance localization ability by requiring the model to identify the object from a partial view.
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
https://paperswithcode.com/paper/cutmix-regularization-strategy-to-train
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features