Fine-Grained AutoAugmentation for Multi-Label Classification

Ya Wang, Hesen Chen, Fangyi Zhang +4

Data augmentation is a commonly used approach to improving the generalization of deep learning models. Recent works show that learned data augmentation policies can achieve better…