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Paper Abstract and Keywords
Presentation 2020-10-09 13:00
Style Adapted DataBase: Generalizing Hand Segmentation via Semantics-aware Stylization
Takehiko Ohkawa, Takuma Yagi, Yoichi Sato (UTokyo) PRMU2020-23
Abstract (in Japanese) (See Japanese page) 
(in English) Domain shift in first-person vision degrades the performance of hand segmentation, which is caused by changes in lighting conditions and background appearances. In this paper, we propose a semantics-aware stylization approach for domain adaptation using an image style transfer with only a few target labels. Specifically, given a source image as content and a target image as style, foreground and background are separated by their labels, and the network transfers the styles of the target image to the source image separately for the foreground and background. Multiple styles can be fed into a stylized source dataset, thus the model trained on the dataset simultaneously generalizes to multiple target domains at once. Our method achieves the best cross-dataset generalization against the state-of-the-art domain adaptation methods for hand segmentation.
Keyword (in Japanese) (See Japanese page) 
(in English) Domain Adaptation / Style Transfer / Hand Segmentation / First Person Vision / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 187, PRMU2020-23, pp. 26-31, Oct. 2020.
Paper # PRMU2020-23 
Date of Issue 2020-10-02 (PRMU) 
ISSN Online edition: ISSN 2432-6380
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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Conference Information
Committee PRMU  
Conference Date 2020-10-09 - 2020-10-10 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Recognition and understating of human 
Paper Information
Registration To PRMU 
Conference Code 2020-10-PRMU 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Style Adapted DataBase: Generalizing Hand Segmentation via Semantics-aware Stylization 
Sub Title (in English)  
Keyword(1) Domain Adaptation  
Keyword(2) Style Transfer  
Keyword(3) Hand Segmentation  
Keyword(4) First Person Vision  
1st Author's Name Takehiko Ohkawa  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Takuma Yagi  
2nd Author's Affiliation The University of Tokyo (UTokyo)
3rd Author's Name Yoichi Sato  
3rd Author's Affiliation The University of Tokyo (UTokyo)
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Speaker Author-1 
Date Time 2020-10-09 13:00:00 
Presentation Time 15 minutes 
Registration for PRMU 
Paper # PRMU2020-23 
Volume (vol) vol.120 
Number (no) no.187 
Page pp.26-31 
Date of Issue 2020-10-02 (PRMU) 

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