Unsupervised Semantic Segmentation of High-Resolution UAV Imagery for Comprehensive Road Scene Analysis

The proposed unsupervised framework leverages advancements in vision-language models, self-supervised representation learning, and iterative self-training to enable comprehensive road scene parsing from high-resolution UAV imagery without any manual annotations.