distortion magnitude
A Appendix A.1 Magnitude methods
A.4 Experimental Details A.4.1 CIF AR The Wide-ResNet models were trained for 200 epochs with a learning rate of 0.1, batch size of 128,
RandAugment: Practical Automated Data Augmentation with a Reduced Search Space
Recent work on automated data augmentation strategies has led to state-of-the-art results in image classification and object detection. An obstacle to a large-scale adoption of these methods is that they require a separate and expensive search phase. A common way to overcome the expense of the search phase was to use a smaller proxy task.