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Paper Abstract and Keywords
Presentation 2018-09-21 13:40
Deployment Friendly Crack Detection via Convolutional Neural Network
Yuki Inoue, Shunsuke Ota, Hiroto Nagayoshi (Hitachi) PRMU2018-64 IBISML2018-41
Abstract (in Japanese) (See Japanese page) 
(in English) Damage inspection, the first step in structural maintenance, is predominantly done manually today. Thus the cost of structural maintenance will be reduced greatly if this process is automated. In this paper, we propose a model that automatically detects surface cracks at a pixel level. Unlike in previous literatures, we heavily focused on the field deployability, such as reducing the dataset annotation cost and shortening the inference time. Experimental results show that the proposed model surpasses the state of the art in terms of accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) crack detection / convolutional neural network / multiple instance learning / deep learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 219, PRMU2018-64, pp. 201-206, Sept. 2018.
Paper # PRMU2018-64 
Date of Issue 2018-09-13 (PRMU, IBISML) 
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 PRMU2018-64 IBISML2018-41

Conference Information
Committee PRMU IBISML IPSJ-CVIM  
Conference Date 2018-09-20 - 2018-09-21 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2018-09-PRMU-IBISML-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Deployment Friendly Crack Detection via Convolutional Neural Network 
Sub Title (in English)  
Keyword(1) crack detection  
Keyword(2) convolutional neural network  
Keyword(3) multiple instance learning  
Keyword(4) deep learning  
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1st Author's Name Yuki Inoue  
1st Author's Affiliation Hitachi Ltd. (Hitachi)
2nd Author's Name Shunsuke Ota  
2nd Author's Affiliation Hitachi Ltd. (Hitachi)
3rd Author's Name Hiroto Nagayoshi  
3rd Author's Affiliation Hitachi Ltd. (Hitachi)
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Speaker Author-1 
Date Time 2018-09-21 13:40:00 
Presentation Time 10 minutes 
Registration for PRMU 
Paper # PRMU2018-64, IBISML2018-41 
Volume (vol) vol.118 
Number (no) no.219(PRMU), no.220(IBISML) 
Page pp.201-206 
#Pages 6 
Date of Issue 2018-09-13 (PRMU, IBISML) 

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