Adversarial Learning With Knowledge of Image Classification for Improving GANs
Generating realistic images with fine details are still challenging due to difficulties of training GANs and mode collapse. To resolve this problem, our main idea is that leveraging the knowledge of an image classification network, which is pre-trained by a large scale dataset (e.g. ImageNet), would...
Main Authors: | Jae-Yong Baek, Yong-Sang Yoo, Seung-Hwan Bae |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8701425/ |
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