Crack _ PSTU: Crack detection based on the U-Net framework combined with Swin Transformer-Reference-Cited by-同舟云学术

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Crack _ PSTU: Crack detection based on the U-Net framework combined with Swin Transformer

Published:2024-04 Issue: Volume:62 Page:106241
ISSN:2352-0124
Container-title:Structures
language:en
Short-container-title:Structures

Author:

Lu Weizhong^ORCID,Qian Meiling,Xia Yiyi^ORCID,Lu Yiming,Shen Jiyun,Fu Qiming,Lu You

Publisher

Elsevier BV

Reference44 articles.

1. Adaptive road crack detection system by pavement classification;Gavilán;Sensors,2011

2. Deepcrack: Learning hierarchical convolutional features for crack detection;Zou;IEEE Trans Image Process,2018

3. Concrete crack detection by multiple sequential image filtering;Nishikawa;Comput Civ Infrastruct Eng,2012

4. Chun-Xia Z. A Local Binary Pattern Based Methods for Pavement Crack Detection;Hu;J Pattern Recognit Res,2010

5. Automatic crack detection and classification method for subway tunnel safety monitoring;Zhang;Sensors,2014

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MLFF-InternImage: Pavement crack semantic segmentation model integrating multi-level fusion features;Measurement;2025-02

2. Pavement Crack Detection Based on the Improved Swin-Unet Model;Buildings;2024-05-16

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