Under a new unlabeled-set composition that mixes base and novel classes, the ALDC method reports average accuracy of 69.77% on mini-ImageNet, 10.9 to 11.5 points above prior Semi-FSCIL baselines.
Few-shot class-incremental learning,
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Ambiguity-Guided Learnable Distribution Calibration for Semi-Supervised Few-Shot Class-Incremental Learning
Under a new unlabeled-set composition that mixes base and novel classes, the ALDC method reports average accuracy of 69.77% on mini-ImageNet, 10.9 to 11.5 points above prior Semi-FSCIL baselines.