Efficient semi-supervised surface crack segmentation with small datasets based on consistency regularisation and pseudo-labelling-Reference-Cited by-同舟云学术

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Efficient semi-supervised surface crack segmentation with small datasets based on consistency regularisation and pseudo-labelling

Published:2024-02 Issue: Volume:158 Page:105181
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Asadi Shamsabadi Elyas,Erfani Seyed Mohammad Hassan,Xu Chang,Dias-da-Costa Daniel

Funder

University of Sydney

The University of Sydney Faculty of Engineering and IT

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference81 articles.

1. Ensemble of deep convolutional neural networks for automatic pavement crack detection and measurement;Fan;Coatings,2020

2. Automated damage localization and quantification in concrete bridges using point cloud-based surface-fitting strategy;Kim;J Comput Civ Eng,2021

3. Automated transverse crack mapping system with optical sensors and big data analytics;Won;Sensors,2020

4. Multi-level feature fusion in densely connected deep-learning architecture and depth-first search for crack segmentation on images collected with smartphones;Mei;Struct Health Monitor,2020

5. Structural crack detection using deep convolutional neural networks;Ali;Autom Construct,2022

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