Paper Abstract and Keywords |
Presentation |
2017-02-21 09:00
A Comparative Evaluation of Deep Features
-- Classifier-based Learning vs. Distance Metric Learning. -- Shota Horiguchi, Daiki Ikami, Kiyoharu Aizawa (UTokyo) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The extraction of useful deep features is important for many computer vision tasks. Deep features extracted from classification networks have proved to perform well in those tasks. On the other hand, end-to-end distance metric learning (DML) has been applied to train the feature extractor directly. However, many researches on DML did not make equitable comparisons to features extracted from classification networks, thus it is still unclear which training strategy is superior for learning feature representations. In this paper, by presenting objective comparisons between these two approaches under the same network architecture, we show that the softmax-based features are markedly better than DML features, especially when the dataset for training is large. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Deep feature / Softmax function / Distance metric learning / / / / / |
Reference Info. |
ITE Tech. Rep., vol. 41, no. 5, ME2017-59, pp. 199-204, Feb. 2017. |
Paper # |
ME2017-59 |
Date of Issue |
2017-02-13 (MMS, CE, HI, ME, AIT) |
ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
Download PDF |
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Conference Information |
Committee |
CE MMS AIT HI ME IEICE-ITS IEICE-IE |
Conference Date |
2017-02-20 - 2017-02-21 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Hokkaido Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Image Processing, etc. |
Paper Information |
Registration To |
ME |
Conference Code |
2017-02-CE-MMS-AIT-HI-ME-ITS-IE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Comparative Evaluation of Deep Features |
Sub Title (in English) |
Classifier-based Learning vs. Distance Metric Learning. |
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Deep feature |
Keyword(2) |
Softmax function |
Keyword(3) |
Distance metric learning |
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1st Author's Name |
Shota Horiguchi |
1st Author's Affiliation |
The University of Tokyo (UTokyo) |
2nd Author's Name |
Daiki Ikami |
2nd Author's Affiliation |
The University of Tokyo (UTokyo) |
3rd Author's Name |
Kiyoharu Aizawa |
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The University of Tokyo (UTokyo) |
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Speaker |
Author-1 |
Date Time |
2017-02-21 09:00:00 |
Presentation Time |
15 minutes |
Registration for |
ME |
Paper # |
MMS2017-35, CE2017-35, HI2017-35, ME2017-59, AIT2017-35 |
Volume (vol) |
vol.41 |
Number (no) |
no.5 |
Page |
pp.199-204 |
#Pages |
6 |
Date of Issue |
2017-02-13 (MMS, CE, HI, ME, AIT) |