Question

Imagenet-trained cnns are biased towards texture; increasing shape bias improves accuracy and robustness

Answer 1

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.