Paper Abstract and Keywords |
Presentation |
2020-03-16 17:00
Continuous Variables Estimation Through Classification Networks Ensembles Qianyuan Liu (Nagoya Univ.), Yu Wang, Jien Kato (Ritsumeikan Univ.) PRMU2019-87 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
With the development of deep learning, CNNs have shown outstanding performance on various tasks. Previous approaches find that CNNs perform better on classification tasks than regression tasks, because regression task is a highly challenging task that approximates a mapping function from input variables to a continuous output variable. In the computer vision and mul-timedia communities, researchers address continuous variables estimation by deep convolutional neural regression networks. In this paper we make estimation of the continuous attributes of images by using classification networks ensembling. To the best of our knowledge, this is the first attempt to address regression problems through classification networks ensembles and our proposed method shows great versatility in different datasets. Experiment results show that our proposed method outper-forms the regression method and single classification network. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Regression task / Classification task / Networks Ensembling / CNNs / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 481, PRMU2019-87, pp. 109-114, March 2020. |
Paper # |
PRMU2019-87 |
Date of Issue |
2020-03-09 (PRMU) |
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) |
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PRMU2019-87 |
Conference Information |
Committee |
PRMU IPSJ-CVIM |
Conference Date |
2020-03-16 - 2020-03-17 |
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(See Japanese page) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2020-03-PRMU-CVIM |
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English |
Title (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
Title (in English) |
Continuous Variables Estimation Through Classification Networks Ensembles |
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Regression task |
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Classification task |
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Networks Ensembling |
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CNNs |
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1st Author's Name |
Qianyuan Liu |
1st Author's Affiliation |
Nagoya University (Nagoya Univ.) |
2nd Author's Name |
Yu Wang |
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Ritsumeikan University (Ritsumeikan Univ.) |
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Jien Kato |
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Ritsumeikan University (Ritsumeikan Univ.) |
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Speaker |
Author-1 |
Date Time |
2020-03-16 17:00:00 |
Presentation Time |
15 minutes |
Registration for |
PRMU |
Paper # |
PRMU2019-87 |
Volume (vol) |
vol.119 |
Number (no) |
no.481 |
Page |
pp.109-114 |
#Pages |
6 |
Date of Issue |
2020-03-09 (PRMU) |
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