Pavement Crack Segmentation Based on Synthetic Data Sets and Unsupervised Domain Adaptation

Abstract

AbstractThis study proposes a novel pavement crack segmentation methodology that integrates synthetic data sets with unsupervised domain adaptation to address annotation challenges in pavement crack data sets and enhance segmentation performance. An ...Practical ApplicationsAutomated crack detection plays a crucial role in structural health monitoring by enhancing speed, precision, and reliability. However, training deep learning models necessitates a vast amount of labeled real-world data, posing ...