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| Presentation | 2019-03-09 13:00 Learning method to recognize both illustration image and Real image using CNN Tomoya Takenaka, Koichi Watanabe, Seiji Tsuchiya (Doshisha)  AI2018-53 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, the development of robots has been carried out for making human life more convenient and more comfortable along with the development of artificial intelligence. As one of some movements of robot, there is a movement that the robot autonomously move and grab some objects which human needs. In order to realize such behavior, it is necessary for the robot to recognize the surrounding environment. However, in the surrounding environment there are objects other than real objects such as illustrations and paintings. When recognizing an image showing an illustration image / real object (hereinafter referred to as a real object image) with the current object recognition system, the recognition rate is about 76%. There is a problem that the recognition rate decreases. In this research, we aim to recognize both illustration images and real object images and verify the effectiveness of the learning model learning the illustration processed images by comparing with the conventional object recognition system. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Deep Learning / Object recognition / illustration image / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 492, AI2018-53, pp. 1-5, March 2019. | |
| Paper # | AI2018-53 | |
| Date of Issue | 2019-03-02 (AI) | |
| 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 | AI2018-53 |
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| Conference Information | |
| Committee | AI IPSJ-ICS JSAI-KBS JSAI-DOCMAS JSAI-SAI |
| Conference Date | 2019-03-07 - 2019-03-10 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | AI |
| Conference Code | 2019-03-AI-ICS-KBS-DOCMAS-SAI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Learning method to recognize both illustration image and Real image using CNN |
| Sub Title (in English) | |
| Keyword(1) | Deep Learning |
| Keyword(2) | Object recognition |
| Keyword(3) | illustration image |
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| 1st Author's Name | Tomoya Takenaka |
| 1st Author's Affiliation | Doshisha University (Doshisha) |
| 2nd Author's Name | Koichi Watanabe |
| 2nd Author's Affiliation | Doshisha University (Doshisha) |
| 3rd Author's Name | Seiji Tsuchiya |
| 3rd Author's Affiliation | Doshisha University (Doshisha) |
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| Speaker | Author-1 |
| Date Time | 2019-03-09 13:00:00 |
| Presentation Time | 20 minutes |
| Registration for | AI |
| Paper # | AI2018-53 |
| Volume (vol) | vol.118 |
| Number (no) | no.492 |
| Page | pp.1-5 |
| #Pages | 5 |
| Date of Issue | 2019-03-02 (AI) |
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