Improving Robustness to Out-of-Distribution Data by Frequency-based Augmentation

Koki Mukai, Soichiro Kumano, Toshihiko Yamasaki

Although Convolutional Neural Networks (CNNs) have high accuracy in image recognition, they are vulnerable to adversarial examples and out-of-distribution data, and the difference…