D3S2: Diffusion-Guided Dataset Distillation for Semantic Segmentation 事件

D3S2: Diffusion-Guided Dataset Distillation for Semantic Segmentation arXiv:2605.25022v1 Announce Type: new Abstract: Dataset distillation (DD) aims to compress large-scale datasets into compact synthetic sets while preserving training efficacy. However, existing studies mainly focus on image classification, leaving dense prediction tasks such as semantic segmentation largely underexplored. In this work, we identify three key challenges for segmentation DD: (i) long-tailed class imbalance, (ii)