This repository includes the official Pytorch implementation for the following works on the basic neural operaters for mixing tokens, i.e., token mixers:
- Active Token Mixer, AAAI 2023 Oral, in this folder.
- Adaptive Frequency Filters As Efficient Global Token Mixers, ICCV 2023, in this folder.
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}
}
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