Augmenting Image Classification with Fourier-basis Functions

The author proposes Auxiliary Fourier-basis Augmentation (AFA) as a technique to enhance model robustness in image classification by filling the gap left by visual augmentations. AFA uses additive noise based on Fourier-basis functions efficiently and seamlessly integrates with other augmentation techniques.