CrackDiffusion: A two-stage semantic segmentation framework for pavement crack combining unsupervised and supervised processes-Reference-Cited by-同舟云学术

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

Published:2024-04 Issue: Volume:160 Page:105332
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Han Chengjia,Yang Handuo,Ma Tao,Wang Shun,Zhao Chaoyang,Yang Yaowen

Funder

National Research Foundation Singapore

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference57 articles.

1. A critical review and comparative study on image segmentation-based techniques for pavement crack detection;Kheradmandi;Constr. Build. Mater.,2022

2. Machine learning techniques for pavement condition evaluation;Sholevar;Autom. Constr.,2022

3. Pavement asset management systems and technologies: a review;Peraka;Autom. Constr.,2020

4. Classification and analysis of deep learning applications in construction: a systematic literature review;Khallaf;Autom. Constr.,2021

5. Machine learning algorithms for monitoring pavement performance;Cano-Ortiz;Autom. Constr.,2022

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1. A robust evaluating strategy of tunnel deterioration using ensemble machine learning algorithms;Engineering Applications of Artificial Intelligence;2024-07

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