Corpus ID: 102351185

A Closer Look at Few-shot Classification

@article{Chen2019ACL,
  title={A Closer Look at Few-shot Classification},
  author={W. Chen and Y. Liu and Z. Kira and Y. Wang and Jia-Bin Huang},
  journal={ArXiv},
  year={2019},
  volume={abs/1904.04232}
}

W. Chen, Y. Liu, +2 authors Jia-Bin Huang

Published 2019

Computer Science

ArXiv

Few-shot classification aims to learn a classifier to recognize unseen classes during training with limited labeled examples. [...] Key Method In this paper, we present 1) a consistent comparative analysis of several representative few-shot classification algorithms, with results showing that deeper backbones significantly reduce the performance differences among methods on datasets with limited domain differences, 2) a modified baseline method that surprisingly achieves competitive performance when compared…Expand Abstract

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