D3S2: Diffusion-Guided Dataset Distillation for Semantic Segmentation
D3S2 distills large semantic segmentation datasets into smaller synthetic sets using diffusion models to preserve training performance. It tackles class imbalance via a greedy mask selection strategy and ensures pixel-level accuracy through dual guidance objectives: segmentation consistency and class-wise feature matching. This method significantly improves data compression without losing critical segmentation details.