Inverting Visual Representations with Convolutional Networks

Feature representations, both hand-designed and learned ones, are often hard to analyze and interpret, even when they are extracted from visual data. We propose a new approach to study image representations by inverting them with an up-convolutional neural network. We apply the method to shallow rep...

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Bibliographic Details
Published in2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 4829 - 4837
Main Authors Dosovitskiy, Alexey, Brox, Thomas
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2016
Subjects
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ISSN1063-6919
DOI10.1109/CVPR.2016.522

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