CUFIT uses a frozen-feature linear probe to select clean samples, then curriculum-trains two adapters, improving noisy-label medical image classification.
The unreasonable effectiveness of noisy data for fine-grained recognition
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Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise
CUFIT uses a frozen-feature linear probe to select clean samples, then curriculum-trains two adapters, improving noisy-label medical image classification.