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SAML

Collect and Select: Semantic Alignment Metric Learning for Few-shot Learning, ICCV 2019.

Requirements

Python 2.7

Pytorch 0.4

Data

For the mini-Imagenet dataset, please follow mini-imagenet-tools

Train & test

run.sh

Citing

If you use this code in your research, please use the following BibTeX entry.

@inproceedings{saml,
  title={Collect and Select: Semantic Alignment Metric Learning for Few-shot Learning},
  author={Fusheng Hao and Fengxiang He and Jun Cheng and Lei Wang and Jianzhong Cao and Dacheng Tao},
  booktitle={Proceedings of the IEEE International Conference on Computer Vision},
  year={2019}
}

Reference

MAML

MAML-pytorch

LearningToCompare_FSL

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  • Python 96.5%
  • Shell 3.5%