Data Augmentation Revisited: Rethinking the Distribution Gap between Clean and Augmented Data

Zhuoxun He, Lingxi Xie, Xin Chen +3

Data augmentation has been widely applied as an effective methodology to improve generalization in particular when training deep neural networks. Recently, researchers proposed a f…