A data-model coevolution framework that fuses model and nearest-neighbor predictions to select labels, reaching ImageNet-1K accuracy with 68% of annotations and 50% under semi-supervised training.
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Info-Coevolution: An Efficient Framework for Data Model Coevolution
A data-model coevolution framework that fuses model and nearest-neighbor predictions to select labels, reaching ImageNet-1K accuracy with 68% of annotations and 50% under semi-supervised training.