Adversarial Discriminative Domain Adaptation

Adversarial learning methods are a promising approach to training robust deep networks, and can generate complex samples across diverse domains. They can also improve recognition despite the presence of domain shift or dataset bias: recent adversarial approaches to unsupervised domain adaptation red...

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Bibliographic Details

Published in:	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 2962 - 2971
Main Authors:	Tzeng, Eric, Hoffman, Judy, Saenko, Kate, Darrell, Trevor
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.07.2017
Subjects:	Adaptation models Gallium nitride Image reconstruction Training Visualization
ISSN:	1063-6919, 1063-6919
Online Access:	Get full text
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