Generalized Few-Shot Classification

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Few-Shot Learning with Global Class Representations

tiangeluo/fsl-global ICCV 2019

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.