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| Presentation | 2019-10-04 09:50 Gait feature extractor incorporation of additional labels Kousuke Moriwaki, Daigo Muramatsu, Noriko Takemura, Yasushi Yagi (Osaka Univ.)  BioX2019-61 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In personal authentication using convolutional neural network, extra labels are often incorporated together with subject ID label to improve accuracy. The incorporated labels are usually associated with real tasks and they are selected heuristically from annotated labels. Different from these approaches, we consider virtual sub-task and incorporate pseudo labels associated with the virtual sub-tasks. If we can find some labels that can achieve better recognition accuracy than the annotated real labels, it shows potential that we can design optimal pseudolabels that can improve recognition accuracy. In this paper, we focus on gait-based person recognition task as a main task, and consider virtual sub-task that can be generated by pseudo labels. Experimental results show virtual tasks with pseudo labels can contribute to improve accuracy of the main task, and the effectiveness of the virtual tasks are comparable to or better than the real tasks in majority cases. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Gait Recognition / Deep Learning / Feature Extraction / Pseudo Label / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 214, BioX2019-61, pp. 31-35, Oct. 2019. | |
| Paper # | BioX2019-61 | |
| Date of Issue | 2019-09-26 (BioX) | |
| ISSN | Print edition: ISSN 0913-5685 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 | BioX2019-61 |
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| Conference Information | |
| Committee | BioX |
| Conference Date | 2019-10-03 - 2019-10-04 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | BioX |
| Conference Code | 2019-10-BioX |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Gait feature extractor incorporation of additional labels |
| Sub Title (in English) | |
| Keyword(1) | Gait Recognition |
| Keyword(2) | Deep Learning |
| Keyword(3) | Feature Extraction |
| Keyword(4) | Pseudo Label |
| Keyword(5) | |
| Keyword(6) | |
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| Keyword(8) | |
| 1st Author's Name | Kousuke Moriwaki |
| 1st Author's Affiliation | Osaka University (Osaka Univ.) |
| 2nd Author's Name | Daigo Muramatsu |
| 2nd Author's Affiliation | Osaka University (Osaka Univ.) |
| 3rd Author's Name | Noriko Takemura |
| 3rd Author's Affiliation | Osaka University (Osaka Univ.) |
| 4th Author's Name | Yasushi Yagi |
| 4th Author's Affiliation | Osaka University (Osaka Univ.) |
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| Speaker | Author-1 |
| Date Time | 2019-10-04 09:50:00 |
| Presentation Time | 25 minutes |
| Registration for | BioX |
| Paper # | BioX2019-61 |
| Volume (vol) | vol.119 |
| Number (no) | no.214 |
| Page | pp.31-35 |
| #Pages | 5 |
| Date of Issue | 2019-09-26 (BioX) |
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