Pick-and-Learn automatically evaluates label quality for noisy-labeled image segmentation, trains on clean annotations with overfitting control, and outperforms baselines on biomedical datasets at varying noise levels.
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Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Segmentation
Pick-and-Learn automatically evaluates label quality for noisy-labeled image segmentation, trains on clean annotations with overfitting control, and outperforms baselines on biomedical datasets at varying noise levels.