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Paper Abstract and Keywords
Presentation 2021-03-29 16:05
IMAS-GAN: Unsupervised Domain Translation without Cycle Consistency
Masashi Okada, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) CCS2020-28
Abstract (in Japanese) (See Japanese page) 
(in English) CycleGAN realizes the translation between domains without using pair data. However, the configuration of two GANs and the learning of bi-directional domain translation to maintain Cycle Consistency make the training time huge.
In this paper, we propose IMAS-GAN (Identity Mapping, Arbitrary style transfer, and Semantic image synthesis GAN), an unsupervised domain translation model using a single GAN without Cycle Consistency. The purpose of this study is to reduce the number of parameters and training time while maintaining the same performance as CycleGAN. We evaluate the proposed method from validation experiments using FCN-Score, Fréchet Inception Distance, and Kernel Inception Distance.
Keyword (in Japanese) (See Japanese page) 
(in English) Generative Adversarial Networks / CycleGAN / Domain Translation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 438, CCS2020-28, pp. 42-47, March 2021.
Paper # CCS2020-28 
Date of Issue 2021-03-22 (CCS) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF CCS2020-28

Conference Information
Committee CCS  
Conference Date 2021-03-29 - 2021-03-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) etc. 
Paper Information
Registration To CCS 
Conference Code 2021-03-CCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) IMAS-GAN: Unsupervised Domain Translation without Cycle Consistency 
Sub Title (in English)  
Keyword(1) Generative Adversarial Networks  
Keyword(2) CycleGAN  
Keyword(3) Domain Translation  
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1st Author's Name Masashi Okada  
1st Author's Affiliation Tokyo City University (Tokyo City Univ.)
2nd Author's Name Hidehiro Nakano  
2nd Author's Affiliation Tokyo City University (Tokyo City Univ.)
3rd Author's Name Arata Miyauchi  
3rd Author's Affiliation Tokyo City University (Tokyo City Univ.)
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Speaker Author-1 
Date Time 2021-03-29 16:05:00 
Presentation Time 25 minutes 
Registration for CCS 
Paper # CCS2020-28 
Volume (vol) vol.120 
Number (no) no.438 
Page pp.42-47 
#Pages 6 
Date of Issue 2021-03-22 (CCS) 

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