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| Presentation | 2020-09-02 15:45 Collaborative learning for generative adversarial networks Takuya Tsukahara, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.)  PRMU2020-14 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Generative adversarial networks (GANs) adversarially trains generative and discriminative models. And this is how to generate a nonexistent image. Common GANs use only a single generative model or discriminant model, and are considered to be unable to maximize their performance. On the other hand, in the image classification problem, it is known that the recognition accuracy is improved by collaborative learning in which knowledge transfer is performed among a plurality of neural networks. Therefore, in this research, we propose a method that uses multiple generative models and one discriminant model to perform collaborative learning while transferring information in each generative model. Experimental results show that the quality of images generated by the proposed method was improved. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Generative adversarial networks / Deep mutual learning / Deep learning / Convolutional neural network / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 154, PRMU2020-14, pp. 41-46, Sept. 2020. | |
| Paper # | PRMU2020-14 | |
| Date of Issue | 2020-08-26 (PRMU) | |
| 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 | PRMU2020-14 |
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| Conference Information | |
| Committee | PRMU |
| Conference Date | 2020-09-02 - 2020-09-02 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Multi-modal, Cross-modal |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2020-09-PRMU |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Collaborative learning for generative adversarial networks |
| Sub Title (in English) | |
| Keyword(1) | Generative adversarial networks |
| Keyword(2) | Deep mutual learning |
| Keyword(3) | Deep learning |
| Keyword(4) | Convolutional neural network |
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| 1st Author's Name | Takuya Tsukahara |
| 1st Author's Affiliation | Chubu University (Chubu Univ.) |
| 2nd Author's Name | Tsubasa Hirakawa |
| 2nd Author's Affiliation | Chubu University (Chubu Univ.) |
| 3rd Author's Name | Takayoshi Yamashita |
| 3rd Author's Affiliation | Chubu University (Chubu Univ.) |
| 4th Author's Name | Hironobu Fujiyoshi |
| 4th Author's Affiliation | Chubu University (Chubu Univ.) |
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| Speaker | Author-1 |
| Date Time | 2020-09-02 15:45:00 |
| Presentation Time | 15 minutes |
| Registration for | PRMU |
| Paper # | PRMU2020-14 |
| Volume (vol) | vol.120 |
| Number (no) | no.154 |
| Page | pp.41-46 |
| #Pages | 6 |
| Date of Issue | 2020-08-26 (PRMU) |
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