RLCD combines a reciprocal two-branch learning framework with a class-wise distribution regularizer to improve both base and novel class accuracy in Generalized Category Discovery.
Debiased self-training for semi-supervised learning
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Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization
RLCD combines a reciprocal two-branch learning framework with a class-wise distribution regularizer to improve both base and novel class accuracy in Generalized Category Discovery.