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Paper Abstract and Keywords
Presentation 2021-10-09 11:00
Road Damage Detection Using Global and Local Features
Jinhong Yu, Yu Wang, Jien Kato (Rits Univ.) PRMU2021-22
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a road damage detection method called Global-Local Faster CNN to deal with the issue of big variation in road damage magnitude. To detect road damages of various sizes simultaneously, we combine two backbone networks under the Faster R-CNN paradigm: one with a large receptive field such as VggNet or ResNet, and another with small receptive fields such as BagNet. Experiments on RDD2020 (from the Global Road Detection Challenge) show that by fusing local features (getting from BagNet) and global features (getting from VggNet/ResNet), we can improve the detection accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) damage detection / reveptive field / CNN / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 192, PRMU2021-22, pp. 34-39, Oct. 2021.
Paper # PRMU2021-22 
Date of Issue 2021-10-01 (PRMU) 
ISSN Print edition: ISSN 0913-5685  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)
Download PDF PRMU2021-22

Conference Information
Committee PRMU  
Conference Date 2021-10-08 - 2021-10-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Processes and technologies to make research more efficient 
Paper Information
Registration To PRMU 
Conference Code 2021-10-PRMU 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Road Damage Detection Using Global and Local Features 
Sub Title (in English)  
Keyword(1) damage detection  
Keyword(2) reveptive field  
Keyword(3) CNN  
1st Author's Name Jinhong Yu  
1st Author's Affiliation Ritsumeikan University (Rits Univ.)
2nd Author's Name Yu Wang  
2nd Author's Affiliation Ritsumeikan University (Rits Univ.)
3rd Author's Name Jien Kato  
3rd Author's Affiliation Ritsumeikan University (Rits Univ.)
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Date Time 2021-10-09 11:00:00 
Presentation Time 15 
Registration for PRMU 
Paper # IEICE-PRMU2021-22 
Volume (vol) IEICE-121 
Number (no) no.192 
Page pp.34-39 
#Pages IEICE-6 
Date of Issue IEICE-PRMU-2021-10-01 

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