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Paper Abstract and Keywords
Presentation 2018-09-20 09:50
Image-Caption Retrieval by Embedding to Gaussian Distribution
Kenta Hama, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) PRMU2018-38 IBISML2018-15
Abstract (in Japanese) (See Japanese page) 
(in English) To get distributed representations of words, one has typically embedded words to points.
Recent studies successfully represent the uncertainty of the meaning of words by embedding them to probability distributions.
We consider such representations contribute to image-caption retrieval.
With point embedding, a ``bus'' is considered to be similar to but different from the ``vehicle''.
Since the distribution embedding captures the ambiguous meaning of the word ``vehicle'', a ``bus'' is included in the``vehicle'',
and one can get a ``bus'' image using a text query of ``vehicle''.
In this study, we propose a method to embed image and text data to a normal distribution.
Compared to point embedding, our proposed embedding improves the performances on the image-caption retrieval benchmark tasks.
Keyword (in Japanese) (See Japanese page) 
(in English) Representation Learning / Image-Caption Retrieval / Embeddings / / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 220, IBISML2018-15, pp. 17-20, Sept. 2018.
Paper # IBISML2018-15 
Date of Issue 2018-09-13 (PRMU, IBISML) 
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 PRMU2018-38 IBISML2018-15

Conference Information
Committee PRMU IBISML IPSJ-CVIM  
Conference Date 2018-09-20 - 2018-09-21 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IBISML 
Conference Code 2018-09-PRMU-IBISML-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Image-Caption Retrieval by Embedding to Gaussian Distribution 
Sub Title (in English)  
Keyword(1) Representation Learning  
Keyword(2) Image-Caption Retrieval  
Keyword(3) Embeddings  
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1st Author's Name Kenta Hama  
1st Author's Affiliation Kobe University (Kobe Univ.)
2nd Author's Name Takashi Matsubara  
2nd Author's Affiliation Kobe University (Kobe Univ.)
3rd Author's Name Kuniaki Uehara  
3rd Author's Affiliation Kobe University (Kobe Univ.)
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Speaker Author-1 
Date Time 2018-09-20 09:50:00 
Presentation Time 10 minutes 
Registration for IBISML 
Paper # PRMU2018-38, IBISML2018-15 
Volume (vol) vol.118 
Number (no) no.219(PRMU), no.220(IBISML) 
Page pp.17-20 
#Pages 4 
Date of Issue 2018-09-13 (PRMU, IBISML) 

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