Si-Yuan He

ST-PaveCLIP: A Spatio-Temporal Vision–Language Framework for Road Anomaly Segmentation in Images and Videos

Static images and vehicle-mounted video are the two primary data sources for road inspection. Since cracks, potholes, and patched areas can all be considered anomalies on the road surface, Contrastive Language–Image Pre-training (CLIP)-based anomaly segmentation provides a promising approach under limited labeled data....