Evolving Image Compositions for Feature Representation Learning

Paola Cascante-Bonilla, Arshdeep Sekhon, Yanjun Qi +1

Convolutional neural networks for visual recognition require large amounts of training samples and usually benefit from data augmentation. This paper proposes PatchMix, a data augm…