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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
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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. 
Keyword(1) 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  
3rd Author's Affiliation 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
Date of Issue 2017-02-13 (MMS, CE, HI, ME, AIT) 


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