PAGANDA : An Adaptive Task-Independent Automatic Data Augmentation

This paper demonstrates by experiments that the proposed Parallel Adaptive GAN Data Augmentation (PAGANDA) strategy can be easily adapted to cross-domain deep learning/machine learning tasks such as image classification and image inpainting, while significantly improving model performance in both tasks.