A Appendix

A.1 Conventional Test-Time Augmentation Center-Crop is the standard test-time augmentation for most of computer vision tasks [56, 29, 5, 7, 18, 26, 52]. The Center-Crop first resizes an image to a fixed size and then crops the central area to make a predefined input size. We resize an image to 256 pixels and crop the central 224 pixels for ResNet-50 in ImageNet experiment, as the same way as [18, 26, 52]. In the case of CIFAR, all images in the dataset are 32 by 32 pixels; we use the original images without any modification at the test time. Horizontal-Flip is an ensemble method using the original image and the horizontally inverted image.