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Paper Abstract and Keywords
Presentation 2017-02-19 14:10
More Convolution Filters for Better Image Retrieval
Longjiao Zhao, Yu Wang, Jien Kato, Kenji Mase (Nagoya Univ.) PRMU2016-194 CNR2016-61
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, a lot of works have shown the advantages of utilizing the deep descriptor on image retrieval,which uses the feature of the last convolution layer as the descriptor. In this paper, we study the effects of augmenting and fusing CNN features in the image retrieval task. For the augmenting, we present two ways, single model augmenting and multiple model augmenting. For the single model augmenting, we expand the model by rotating and flipping the single network. For the multiple models, we expand filters by connecting the different network together. And in the fusion method, we evaluated cat, sum and max pooling. We did a thorough evaluation of these models and fusion approaches. We found that the more filters we utilized, the higher accuracy we got. And also we achieved state of the art performance.
Keyword (in Japanese) (See Japanese page) 
(in English) image retrieval / deep learning / fusion / / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 461, PRMU2016-194, pp. 211-212, Feb. 2017.
Paper # PRMU2016-194 
Date of Issue 2017-02-11 (PRMU, CNR) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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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)
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Conference Information
Committee PRMU CNR  
Conference Date 2017-02-18 - 2017-02-19 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To PRMU 
Conference Code 2017-02-PRMU-CNR 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) More Convolution Filters for Better Image Retrieval 
Sub Title (in English)  
Keyword(1) image retrieval  
Keyword(2) deep learning  
Keyword(3) fusion  
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1st Author's Name Longjiao Zhao  
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.)
4th Author's Name Kenji Mase  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker
Date Time 2017-02-19 14:10:00 
Presentation Time 25 
Registration for PRMU 
Paper # IEICE-PRMU2016-194,IEICE-CNR2016-61 
Volume (vol) IEICE-116 
Number (no) no.461(PRMU), no.462(CNR) 
Page pp.211-212 
#Pages IEICE-2 
Date of Issue IEICE-PRMU-2017-02-11,IEICE-CNR-2017-02-11 


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