"Revisiting Prototypical Network for Cross Domain Few-Shot Learning" by Fei Zhou, Peng Wang et al.
Prototypical Network is a popular few-shot solver that aims at establishing a feature metric generalizable to novel few-shot classification (FSC) tasks using deep neural networks. However, its performance drops dramatically when generalizing to the FSC tasks in new domains. In this study, we revisit this problem and argue that the devil lies in the simplicity bias pitfall in neural networks. In specific, the network tends to focus on some biased shortcut features (e.g., color, shape, etc.) that ...
Prototypical Network Distillation Prototypical Network Local Global Distillation Prototypical Network Exponential Moving Average Blow Shot R Long Tail Learning
Source: uow.edu.au