Deep neural network-based segmentation methods have demonstrated ... In this paper, we propose a novel semi-supervised learning model for crack detection. The proposed model employs a modified U-Net, ...

This project focuses on developing a deep learning model to detect cracks ... ensuring optimal model performance. Structural Health Monitoring: Automate crack detection in bridges, buildings, and ...

Abstract: This research investigates the application of deep learning models for early detection of surface cracks in infrastructure. By automating this process, the study aims to improve structural ...

This project aims to develop a crack detection system using deep learning techniques ... model was fed with enough data for it to train properly Training The Model by Transfer Learning Transfer ...

Models that use CNN architecture in deep learning and vision based (i.e. digital image ... Hence to prove these researches and how the samples might differ in the ViT model crack detection and CNN ...