CrackDiffusion: a two-stage semantic segmentation framework for pavement crack combining unsupervised and supervised processes

CrackDiffusion: a two-stage semantic segmentation framework for pavement crack combining unsupervised and supervised processes

Achieving precise and reliable automated pavement crack detection using deep learning techniques is vital for intelligent pavement maintenance. This study proposes CrackDiffusion, an enhanced-supervised detection framework for pavement crack, combining two supervised and unsupervised stages. In Stag...

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Bibliographic Details
Main Authors: Han, Chengjia, Yang, Handuo, Ma, Tao, Wang, Shun, Zhao, Chaoyang, Yang, Yaowen
Other Authors: School of Civil and Environmental Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Engineering
Pavement crack
Diffusion model
Online Access:https://hdl.handle.net/10356/176034

Internet

https://hdl.handle.net/10356/176034

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