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Paper Abstract and Keywords
Presentation 2013-01-24 15:45
Hybrid Transfer Learning for Efficient Learning in Object Detection
Masamitsu Tsuchiya, Yuji Yamauchi (Chubu Univ.), Takayoshi Yamashita (Omron Corp.), Hironobu Fujiyoshi (Chubu Univ.) PRMU2012-122 MVE2012-87
Abstract (in Japanese) (See Japanese page) 
(in English) In the detection of human from image using statistical learning methods, the labor cost of collecting training samples and the time cost for retraining to match the target scene are major issues. One method to reduce the work involved in sample collection is transfer learning based on boosting. However, if there is a large change between the auxiliary scene and target scene, it is difficult to apply the transfer learning.We therefore propose a hybrid transfer learning method in which two feature spaces are prepared, one of feature obtained by transfer and another of full feature search that is the same as retraining. The feature space is selectively switched on the basis of the defined training efficiency. The proposed method improving accuracy up to 8.35% compared to conventional transfer learning while accelerating training time by 3.2 times faster compared to retraining.
Keyword (in Japanese) (See Japanese page) 
(in English) Transfer learning / Generative learning / Boosting / Object detection / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 385, PRMU2012-122, pp. 329-334, Jan. 2013.
Paper # PRMU2012-122 
Date of Issue 2013-01-16 (PRMU, MVE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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)
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Conference Information
Committee PRMU MVE IPSJ-CVIM  
Conference Date 2013-01-23 - 2013-01-24 
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 2013-01-PRMU-MVE-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Hybrid Transfer Learning for Efficient Learning in Object Detection 
Sub Title (in English)  
Keyword(1) Transfer learning  
Keyword(2) Generative learning  
Keyword(3) Boosting  
Keyword(4) Object detection  
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1st Author's Name Masamitsu Tsuchiya  
1st Author's Affiliation Chubu University (Chubu Univ.)
2nd Author's Name Yuji Yamauchi  
2nd Author's Affiliation Chubu University (Chubu Univ.)
3rd Author's Name Takayoshi Yamashita  
3rd Author's Affiliation Omron Corporation (Omron Corp.)
4th Author's Name Hironobu Fujiyoshi  
4th Author's Affiliation Chubu University (Chubu Univ.)
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Speaker Author-1 
Date Time 2013-01-24 15:45:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2012-122, MVE2012-87 
Volume (vol) vol.112 
Number (no) no.385(PRMU), no.386(MVE) 
Page pp.329-334 
#Pages
Date of Issue 2013-01-16 (PRMU, MVE) 


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