Generalized Few-Shot Classification
1 papers with code • 0 benchmarks • 1 datasets
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Few-Shot Learning with Global Class Representations
In this paper, we propose to tackle the challenging few-shot learning (FSL) problem by learning global class representations using both base and novel class training samples.