论文: Intriguing Properties of Vision Transformers代码: Muzammal-Naseer/Intriguing-Properties-of-Vision-Transformers导语:随着Transformer模型在NLP领域的火热,近年来这股热潮也席卷到了视觉领域。随着…
Figure 1: We show intriguing properties of ViT including impressive robustness to (a) severe occlusions, (b) distributional shifts (e.g., stylization to remove texture cues), (c) adversarial perturbations, and (d) patch permutations. Furthermore, our ViT models trained to focus on shape cues ...
Since the results of a real array’s DFT has symmetric properties, the right half of the results can be derived from the left half. The FFT algorithms reduce the complexity and calculates the DFT in a more efficient way. Let 𝐙∈ℝH×W×C be the input feature volume, where H, W,...