/TokenMixers

Primary LanguagePythonMIT LicenseMIT

TokenMixers

Introduction

This repository includes the official Pytorch implementation for the following works on the basic neural operaters for mixing tokens, i.e., token mixers:

Citing

If you find this code and work useful, please consider citing the following paper and star this repo. Thank you very much!

@inproceedings{wei2023active,
  title={Active Token Mixer},
  author={Wei, Guoqiang and Zhang, Zhizheng and Lan, Cuiling and Lu, Yan and Chen, Zhibo},
  booktitle={AAAI},
  year={2023}
}

@inproceedings{huang2023adaptive,
  title={Adaptive Frequency Filters As Efficient Global Token Mixers},
  author={Huang, Zhipeng and Zhang, Zhizheng and Lan, Cuiling and Zha, Zheng-Jun and Lu, Yan and Guo, Baining},
  booktitle={ICCV},
  year={2023}
}

Contributing

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Trademarks

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