Why do deep convolutional networks generalize so poorly to small image transformations?

ICLR 2019 Aharon AzulayYair Weiss

Convolutional Neural Networks (CNNs) are commonly assumed to be invariant to small image transformations: either because of the convolutional architecture or because they were trained using data augmentation. Recently, several authors have shown that this is not the case: small translations or rescalings of the input image can drastically change the network's prediction... (read more)

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