ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Convolutional Neural Networks (CNNs) are commonly thought to recognise objects by learning increasingly complex representations of object shapes. Some recent studies suggest a more important role of image textures. We here put these conflicting hypotheses arxiv.org Figure 2: Accuracies and ex..
