SCAR estimates a foundation data size from fitted concept-growth curves and uses it to guide multimodal data completion, with mixed results against random sampling.
Emerging properties in self-supervised vision transformers
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SCAR: A Characterization Scheme for Multi-Modal Dataset
SCAR estimates a foundation data size from fitted concept-growth curves and uses it to guide multimodal data completion, with mixed results against random sampling.