Contrastive decoupling global and local features for pavement crack detection-Reference-Cited by-同舟云学术

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Contrastive decoupling global and local features for pavement crack detection

Published:2024-07 Issue: Volume:133 Page:108632
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Yeung Ching-Chi^ORCID,Lam Kin-Man

Publisher

Elsevier BV

Reference66 articles.

1. Computer vision framework for crack detection of civil infrastructure—A review;Ai;Eng. Appl. Artif. Intell.,2023

2. A hybrid deep learning pavement crack semantic segmentation;Al-Huda;Eng. Appl. Artif. Intell.,2023

3. Automatic pixel-level crack segmentation in images using fully convolutional neural network based on residual blocks and pixel local weights;Ali;Eng. Appl. Artif. Intell.,2021

4. Crack segmentation network using additive attention gate—CSN-II;Ali;Eng. Appl. Artif. Intell.,2022

5. Automatic crack detection on two-dimensional pavement images: An algorithm based on minimal path selection;Amhaz;IEEE Trans. Intell. Transp. Syst.,2016

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