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| 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 |
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| 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. |
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| 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 |
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| 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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