Enhancing Pothole Detection with Self-Supervised Learning: A Hybrid Contrastive and Noncontrastive Approach for Label-Efficient Segmentation

Abstract

AbstractPotholes pose a significant challenge to road safety, affecting daily life and economic activities. Prompt and effective pothole management is crucial for mitigating their adverse effects. Machine-learning (ML) methods help in automatic pothole ...Practical ApplicationsPotholes damage roads and can lead to traffic accidents, especially in poorly lit or weather-affected regions in which visual inspections are unreliable. This study presents a self-supervised learning–based approach for detecting ...