A feature augmentation plus proxy-label contrastive learning framework reports SOTA FSCIL accuracy, but its evaluation uses extra proxy prototypes that bias comparisons.
End-to-end incre- mental learning
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Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning
A feature augmentation plus proxy-label contrastive learning framework reports SOTA FSCIL accuracy, but its evaluation uses extra proxy prototypes that bias comparisons.