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| Paper Abstract and Keywords | ||
| Presentation | 2018-03-18 16:45 Image Retrieval with Augmented Fine-tuned CNN Features Zhao Longjiao, Yu Wang, Jien Kato (Nagoya Univ.)  BioX2017-55 PRMU2017-191 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Recently, pre-trained CNN features have shown a good performance on the content-based image retrieval task. In this paper, we study two strategies that are expected to bring further improvement to CNN features: feature augmentation, and network fine-tuning. Specifically, we study a feature augmentation method, 3 fine-tuning settings, and their combinations on the popular Oxford building and Paris datasets. We confirmed both strategies lead to better image retrieval performance, and their combination leads to even further improvements. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | image retrieval / fine-tune / augmentation / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 514, PRMU2017-191, pp. 115-119, March 2018. | |
| Paper # | PRMU2017-191 | |
| Date of Issue | 2018-03-11 (BioX, PRMU) | |
| 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 | BioX2017-55 PRMU2017-191 |
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| Conference Information | |
| Committee | PRMU BioX |
| Conference Date | 2018-03-18 - 2018-03-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2018-03-PRMU-BioX |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Image Retrieval with Augmented Fine-tuned CNN Features |
| Sub Title (in English) | |
| Keyword(1) | image retrieval |
| Keyword(2) | fine-tune |
| Keyword(3) | augmentation |
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| 1st Author's Name | Zhao Longjiao |
| 1st Author's Affiliation | Nagoya University (Nagoya Univ.) |
| 2nd Author's Name | Yu Wang |
| 2nd Author's Affiliation | Nagoya University (Nagoya Univ.) |
| 3rd Author's Name | Jien Kato |
| 3rd Author's Affiliation | Nagoya University (Nagoya Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-03-18 16:45:00 |
| Presentation Time | 25 minutes |
| Registration for | PRMU |
| Paper # | BioX2017-55, PRMU2017-191 |
| Volume (vol) | vol.117 |
| Number (no) | no.513(BioX), no.514(PRMU) |
| Page | pp.115-119 |
| #Pages | 5 |
| Date of Issue | 2018-03-11 (BioX, PRMU) |
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