Web: http://arxiv.org/abs/2110.05076

Sept. 16, 2022, 1:15 a.m. | Mingcheng Hou, Issei Sato

cs.CV updates on arXiv.org arxiv.org

The prototypical network is a prototype classifier based on meta-learning and
is widely used for few-shot learning because it classifies unseen examples by
constructing class-specific prototypes without adjusting hyper-parameters
during meta-testing. Interestingly, recent research has attracted a lot of
attention, showing that training a new linear classifier, which does not use a
meta-learning algorithm, performs comparably with the prototypical network.
However, the training of a new linear classifier requires the retraining of the
classifier every time a new class appears. …

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