2026
Dataset Color Quantization: A Training-Oriented Framework for Dataset-Level Compression
ICLR 2026poster
Large-scale image datasets are fundamental to deep learning, but their high storage demands pose challenges for deployment in resource-constrained environments. While existing approaches reduce dataset size by discarding samples, they often ignore the significant redundancy within each image -- part…