/GLoFA

This is the code of AAAI'21 paper "Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors".

Primary LanguagePythonMIT LicenseMIT

GLoFA

This is the code of AAAI 2021 paper "Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors". If you use any content of this repo for your work, please cite the following bib entry:

@inproceedings{lu2021glofa,
  author    = {Su Lu and
               Han-Jia Ye and
               De-Chuan Zhan},
  title     = {Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
  pages     = {8776--8783},
  year      = {2021}
}

Pretrained Models

Pretrained weights of ResNet-12 and ConvNet can be downloaded at https://github.com/Sha-Lab/FEAT.