Learning to Focus: Cascaded Feature Matching Network for Few-shot Image Recognition

@article{Chen2021LearningTF,
  title={Learning to Focus: Cascaded Feature Matching Network for Few-shot Image Recognition},
  author={Mengting Chen and Xinggang Wang and Heng Luo and Yifeng Geng and Wenyu Liu},
  journal={Sci. China Inf. Sci.},
  year={2021},
  volume={64}
}
Generally, deep networks learn to recognize a category of objects by training on a large number of annotated images accurately. However, a meta-learning problem known as a low-shot image recognition task occurs when a few images with annotations are available for learning a recognition model for a single category. Consequently, the objects in testing/query and training/support image datasets are likely to vary in terms of size, location, style, and so on. In this paper, we propose a method… 

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