Datasets and Methods for Boosting Infrastructure Inspection: A Survey on Defect Classification-Reference-Cited by-同舟云学术

Datasets and Methods for Boosting Infrastructure Inspection: A Survey on Defect Classification

Published:2022-06-27 Issue: Volume: Page:
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Container-title:2022 IEEE 17th International Conference on Control & Automation (ICCA)
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Author:

Yang Guidong¹,Liu Kangcheng¹,Zhao Zuoquan¹,Zhang Jihan¹,Chen Xi¹,Chen Ben M.¹

Affiliation:

1. The Chinese University of Hong Kong,Department of Mechanical and Automation Engineering,Shatin,NT,Hong Kong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9831427/9831807/09831922.pdf?arnumber=9831922

Reference46 articles.

1. Avoiding Frequency Second Dip in Power Unreserved Control During Wind Power Rotational Speed Recovery

2. Coco-bridge: Common objects in context dataset and benchmark for structural detail detection of bridges;bianchi;Ph D dissertation Virginia Tech,2019

3. Research on Crack Detection Algorithm of the Concrete Bridge Based on Image Processing

4. Going deeper with convolutions

5. Imagenet classification with deep convolutional neural networks;krizhevsky;Advances in neural information processing systems,2012

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