Multi-discriminator Generative Adversarial Networks Based on Selective Ensemble Learning

Multi-discriminator Generative Adversarial Networks Based on Selective Ensemble Learning

Generative adversarial networks (GAN) are widely used in image generation. However, there is still a big gap between the samples generated by unsupervised and supervised networks. In order to solve the problems such as poor diversity, low quality and long training time of GAN in unsupervised environ...

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Bibliographic Details
Main Author:	SHEN Ruicai, ZHAI Junhai, HOU Yingzhen
Format:	Article
Language:	zho
Published:	Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2022-06-01
Series:	Jisuanji kexue yu tansuo
Subjects:	\|generative adversarial networks (gan)\|integrated discrimination system\|selective ensemble learning\|majority voting strategy
Online Access:	http://fcst.ceaj.org/fileup/1673-9418/PDF/2011010.pdf

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