GBABS samples only approximate borderline points detected via non-overlapping granular balls, reporting better classifier accuracy and noise robustness than GB-based and standard sampling baselines.
Coreset sampling from open-set for fine-grained self-supervised learning,
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Approximate Borderline Sampling using Granular-Ball for Classification Tasks
GBABS samples only approximate borderline points detected via non-overlapping granular balls, reporting better classifier accuracy and noise robustness than GB-based and standard sampling baselines.