Surface fatigue crack segmentation in steel box girder bridges using an improved Unet convolutional neural network-Reference-Cited by-同舟云学术

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Surface fatigue crack segmentation in steel box girder bridges using an improved Unet convolutional neural network

Published:2024-08-13 Issue: Volume: Page:1-12
ISSN:1573-2479
Container-title:Structure and Infrastructure Engineering
language:en
Short-container-title:Structure and Infrastructure Engineering

Author:

Gao Tian¹,Yuanzhou Zhiyuan¹,Ji Bohai¹,Xia Junyuan¹

Affiliation:

1. College of Civil and Transportation Engineering, Hohai University, Nanjing, China

Funder

Traffic Science Research Project of Jiangsu Province

Natural Science Foundation of Jiangsu

Fundamental Research Funds for the Central Universities

Postgraduate Research & Practice Innovation Program of Jiangsu Province

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15732479.2024.2390461

Reference38 articles.

1. Computer vision framework for crack detection of civil infrastructure—A review

2. Crack Segmentation Network using Additive Attention Gate—CSN-II

3. A Review on Semantic Segmentation from a Modern Perspective

4. Computer vision-based statistical crack quantification for concrete structures

5. Autonomous Structural Visual Inspection Using Region-Based Deep Learning for Detecting Multiple Damage Types

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