A survey of generative models for image-based structural health monitoring in civil infrastructure
Authors:
- Gi-Hun GwonGGGi-Hun Gwon
- Hyung-Jo JungHJHyung-Jo Jung
Open Access
- 10 January 2025
- journal article
- Published by Elsevier in Journal of Infrastructure Intelligence and Resilience
- Vol. 4 (2)
Abstract
No abstract availableFunding Information
- National Research Foundation of Korea
This publication has 114 references indexed in Scilit:
- A brief introductory review to deep generative models for civil structural health monitoringAI in Civil Engineering, 2023
- Unpaired image-to-image translation of structural damageAdvanced Engineering Informatics, 2023
- Multi-objective variational autoencoder: an application for smart infrastructure maintenanceApplied Intelligence, 2022
- Multiclass damage detection in concrete structures using a transfer learning‐based generative adversarial networksStructural Control and Health Monitoring, 2022
- Crack Detection Based on Generative Adversarial Networks and Deep LearningKSCE Journal of Civil Engineering, 2022
- Road damage detection using super-resolution and semi-supervised learning with generative adversarial networkAutomation in Construction, 2022
- A New GAN-Based Approach to Data Augmentation and Image Segmentation for Crack Detection in Thermal Imaging TestsCognitive Computation, 2021
- Semi-supervised learning with GAN for automatic defect detection from imagesAutomation in Construction, 2021
- Convolutional neural networks for automated damage recognition and damage type identificationStructural Control and Health Monitoring, 2018
- Crack detection and characterization techniques-An overviewStructural Control and Health Monitoring, 2014