Locality-iN-Locality

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Locality-iN-Locality

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Robust Transformer with Locality Inductive Bias and Feature Normalization (JESTECH 2023)

Locality-iN-Locality 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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# Robust Transformer with Locality Inductive Bias and Feature Normalization

This repo is the official implementation of ["Locality iN Locality"](https://arxiv.org/abs/2301.11553).

## Train & Test --- Prepare data
Please go to ["Instructions.ipynb"](https://github.com/Omid-Nejati/Locality-iN-Locality/blob/main/Instructions.ipynb) for complete detail on dataset preparation and Train/Test procedure or follow the instructions below. [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1-phpyKQSLdmwISrkVqprtXgEBMP3fFNz?usp=sharing)

## Citation
If you find this project useful in your research, please consider cite:
```
@article{manzari2023robust,
  title={Robust transformer with locality inductive bias and feature normalization},
  author={Manzari, Omid Nejati and Kashiani, Hossein and Dehkordi, Hojat Asgarian and Shokouhi, Shahriar B},
  journal={Engineering Science and Technology, an International Journal},
  volume={38},
  pages={101320},
  year={2023},
  publisher={Elsevier}
}
```

## Contact Information

For any inquiries or questions regarding the code, please feel free to contact us directly via email:

- Omid Nejaty: [omid.nejaty@gmail.com](mailto:omid.nejaty@gmail.com)
- Hossein kashiani: [hkashia@clemson.edu](mailto:hkashia@clemson.edu)

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