Multi-task Adversarial Network for Disentangled Feature Learning

We address the problem of image feature learning for the applications where multiple factors exist in the image generation process and only some factors are of our interest. We present a novel multi-task adversarial network based on an encoder-discriminator-generator architecture. The encoder extrac...

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Bibliographic Details

Published in:	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition pp. 3743 - 3751
Main Authors:	Liu, Yang, Wang, Zhaowen, Jin, Hailin, Wassell, Ian
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2018
Subjects:	Feature extraction Gallium nitride Generators Image generation Optimization Task analysis Training
ISSN:	1063-6919
Online Access:	Get full text
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