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Uncertainty-based Network for Few-shot Image Classification
Specifically, we first data augment and classify the query instance and calculate the mutual information of these classification scores.
Learning Class-level Prototypes for Few-shot Learning
Few-shot learning aims to recognize new categories using very few labeled samples.
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