Pavement Crack Detection Based on the Improved Swin-Unet Model

Pavement Crack Detection Based on the Improved Swin-Unet Model

Accurate pavement surface crack detection is crucial for analyzing pavement survey data and the development of maintenance strategies. On the basis of Swin-Unet, this study develops the improved Swin-Unet (iSwin-Unet) model with the developed skip attention module and the residual Swin Transformer b...

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Bibliographic Details
Main Authors: Song Chen, Zhixuan Feng, Guangqing Xiao, Xilong Chen, Chuxiang Gao, Mingming Zhao, Huayang Yu
Format: Article
Language:English
Published: MDPI AG 2024-05-01
Series:Buildings
Subjects:
deep learning
pavement crack detection
semantic segmentation
transformer
Online Access:https://www.mdpi.com/2075-5309/14/5/1442

Internet

https://www.mdpi.com/2075-5309/14/5/1442

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