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Paper Abstract and Keywords
Presentation 2022-03-10 09:00
Deep Cascade Road Extraction Network: a Multi-task Method for Road Extraction
Yubo Wang (Waseda Univ.), Zhao Wang, Yuusuke Nakano, Ken Nishimatsu (NTT), Katsuya Hasegawa (JAXA), Jun Ohya (Waseda Univ.) PRMU2021-60
Abstract (in Japanese) (See Japanese page) 
(in English) In this work, we present an end-to-end cascade neural network model called Deep Cascade Road Extraction Network to extract accurate road networks from aerial imagery. On the basis of the cascade structure consisting of three subnetworks (Surface Segmentation Network, Edge Detection Network, and Centreline Extraction Network) connected in a cascade manner, we simultaneously achieve the three tasks of the subnetworks for road extraction. Through comparison experiments, our method achieves state-of-the-art results for all the three subtasks. Meanwhile, our model demonstrates strong robustness to occlusions while accurately extracting complex road areas.
Keyword (in Japanese) (See Japanese page) 
(in English) Aerial Image Segmentation / Road Extraction / Multi-task Model / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 427, PRMU2021-60, pp. 1-6, March 2022.
Paper # PRMU2021-60 
Date of Issue 2022-03-03 (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)
Download PDF PRMU2021-60

Conference Information
Committee PRMU IPSJ-CVIM  
Conference Date 2022-03-10 - 2022-03-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Differentiable rendering 
Paper Information
Registration To PRMU 
Conference Code 2022-03-PRMU-CVIM 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Deep Cascade Road Extraction Network: a Multi-task Method for Road Extraction 
Sub Title (in English)  
Keyword(1) Aerial Image Segmentation  
Keyword(2) Road Extraction  
Keyword(3) Multi-task Model  
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1st Author's Name Yubo Wang  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Zhao Wang  
2nd Author's Affiliation NTT Network Service Systems Laboratories (NTT)
3rd Author's Name Yuusuke Nakano  
3rd Author's Affiliation NTT Network Service Systems Laboratories (NTT)
4th Author's Name Ken Nishimatsu  
4th Author's Affiliation NTT Network Service Systems Laboratories (NTT)
5th Author's Name Katsuya Hasegawa  
5th Author's Affiliation Japan Aerospace Exploration Agency (JAXA)
6th Author's Name Jun Ohya  
6th Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2022-03-10 09:00:00 
Presentation Time 15 minutes 
Registration for PRMU 
Paper # PRMU2021-60 
Volume (vol) vol.121 
Number (no) no.427 
Page pp.1-6 
#Pages 6 
Date of Issue 2022-03-03 (PRMU) 

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