A Augmentation Details

This section provides more details on the augmentation process of Figure 1. For Image Filtering (IF), s equals to 1.5, so the image is blurred by convolving with K = 1.5 G3+ Testing sets are not involved in our augmentation search process. ImageNet [2] is a challenging large scale dataset, containing about 1.28 million training The testing set is not used. Mean values and standard deviations are reported. The hyperparameters for re-training used in this paper are listed in Tab.