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...
Saved in:
Published in | 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 4829 - 4837 |
---|---|
Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.06.2016
|
Subjects | |
Online Access | Get full text |
ISSN | 1063-6919 |
DOI | 10.1109/CVPR.2016.522 |
Cover
Loading…