Adversarial Learning of General Transformations for Data Augmentation

Saypraseuth Mounsaveng, David Vazquez, Ismail Ben Ayed +1

Data augmentation (DA) is fundamental against overfitting in large convolutional neural networks, especially with a limited training dataset. In images, DA is usually based on heur…