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Paper Abstract and Keywords
Presentation 2023-02-21 10:30
Improving Fashion Compatibility Prediction with Color Distortion Prediction
Ling Xiao, Toshihiko Yamasaki (UTokyo)
Abstract (in Japanese) (See Japanese page) 
(in English) Fashion compatibility prediction is suffering from the fact that the labeled dataset may become outdated quickly due to fast fashion. However, there are limited self/semi-supervised learning techniques in this field. In this paper, we propose a general color distortion prediction task forcing the baseline to recognize low-level image information to learn more discriminative representation for fashion compatibility prediction. The proposed pretext task is adopted in the state-of-the-art methods in fashion compatibility and shows its effectiveness in improving these methods' ability in extracting better feature representations. Applying the proposed pretext task to the baseline can consistently outperform the original baseline.
Keyword (in Japanese) (See Japanese page) 
(in English) Self/semi-supervised learning / Fashion compatibility prediction / Color distortion / Representation learning / / / /  
Reference Info. ITE Tech. Rep.
Paper #  
Date of Issue  
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Committee MMS ME AIT IEICE-IE IEICE-ITS  
Conference Date 2023-02-21 - 2023-02-22 
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 IEICE-IE 
Conference Code 2023-02-IE-ITS-MMS-ME-AIT 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improving Fashion Compatibility Prediction with Color Distortion Prediction 
Sub Title (in English)  
Keyword(1) Self/semi-supervised learning  
Keyword(2) Fashion compatibility prediction  
Keyword(3) Color distortion  
Keyword(4) Representation learning  
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1st Author's Name Ling Xiao  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Toshihiko Yamasaki  
2nd Author's Affiliation The University of Tokyo (UTokyo)
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Speaker Author-1 
Date Time 2023-02-21 10:30:00 
Presentation Time 15 minutes 
Registration for IEICE-IE 
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Volume (vol) vol.47 
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