Adversarial Learning With Knowledge of Image Classification for Improving GANs

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...

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Bibliographic Details
Main Authors: Jae-Yong Baek, Yong-Sang Yoo, Seung-Hwan Bae
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Generative adversarial network
image classification network
image generation
generative model
deep learning
convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/8701425/

Internet

https://ieeexplore.ieee.org/document/8701425/

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