2026
Balanced Dataset Distillation via Modeling Multiple Visual Pattern Distribution
CVPR 2026
Dataset Distillation (DD) aims to compress large-scale datasets into a small number of condensed Images Per Class (IPC), enabling efficient network training. Previous coreset selection and synthetic-based DD methods achieve reasonable performance. However, our in-depth investigation reveals that exi