…texture-bias. Second, it would explain why CNNs are so insensitive to the shuffling of image parts. It might even explain the existence of adversarial stickers and adversarial perturbations in general: one can place misleading signals anywhere in the image and the CNN will still reliably pick up that signal whether or not these signal fit to the rest of the image.
