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By eliminating the need for iterative optimization, ProtoBlend achieves high-quality video dataset distillation while dramatically reducing computational costs.
SRG transforms dataset distillation by aligning generative samples with the discriminative geometry of self-supervised representations, achieving superior performance across multiple benchmarks.
Saliency-driven prototype alignment can dramatically enhance dataset distillation, yielding better generalization and performance in complex visual tasks.
