Diversity-driven diffusion dataset distillation with self-adaptive memory eviction achieves SOTA accuracy on ImageWoof, ImageNette, and ImageIDC.
Our method mainly includes three parts: preliminary diffusion model, optimization objectives for dataset distillation, and self-adaptive memory
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory
Diversity-driven diffusion dataset distillation with self-adaptive memory eviction achieves SOTA accuracy on ImageWoof, ImageNette, and ImageIDC.