Improving Robustness of Feature Representations to Image Deformations using Powered Convolution in CNNs

25 Jul 2017Zhun SunMete OzayTakayuki Okatani

In this work, we address the problem of improvement of robustness of feature representations learned using convolutional neural networks (CNNs) to image deformation. We argue that higher moment statistics of feature distributions could be shifted due to image deformations, and the shift leads to degrade of performance and cannot be reduced by ordinary normalization methods as observed in experimental analyses... (read more)

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