Training-Free Semantic Segmentation via Detailed Subclass Supervision from Large Language Models

A novel training-free semantic segmentation approach that leverages large language models to generate detailed subclass descriptors, which are then used to supervise an advanced text-supervised segmentation model, leading to more precise and comprehensive segmentation results.