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 |
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) |
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PRMU2012-122 MVE2012-87 |
Conference Information |
Committee |
PRMU MVE IPSJ-CVIM |
Conference Date |
2013-01-23 - 2013-01-24 |
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(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) |
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(See Japanese page) |
Title (in English) |
Hybrid Transfer Learning for Efficient Learning in Object Detection |
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Transfer learning |
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Generative learning |
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Boosting |
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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 |
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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 |
6 |
Date of Issue |
2013-01-16 (PRMU, MVE) |
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