2026
OD$^3$: Optimization-free Dataset Distillation for Object Detection
ICLR 2026poster
Training large neural networks on large-scale datasets requires substantial computational resources, particularly for dense prediction tasks such as object detection. Although dataset distillation (DD) has been proposed to alleviate these demands by synthesizing compact datasets from larger ones, mo…