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

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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