Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective
This paper introduces a new dataset condensation framework called Squeeze, Recover, and Relabel (SRe2L). The framework decouples the bilevel optimization of model and synthetic data during training, allowing it to…
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