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

• المؤلفون الرئيسيون: Han, Chengjia, Yang, Handuo, Ma, Tao, Wang, Shun, Zhao, Chaoyang, Yang, Yaowen
• مؤلفون آخرون: School of Civil and Environmental Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2024
• الموضوعات: Engineering; Pavement crack; Diffusion model
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/176034

Achieving precise and reliable automated pavement crack detection using deep learning techniques is vital for intelligent pavement maintenance. This study proposes CrackDiffusion, an enhanced-supervised detection framework for pavement crack, combining two supervised and unsupervised stages. In Stag...