A Closer Look at Prototype Classifier for Few-shot Image Classification

no code implementations • 11 Oct 2021 • Mingcheng Hou, Issei Sato

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.

Few-Shot Image Classification Few-Shot Learning