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‎README.md

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@@ -16,6 +16,8 @@ of ["TransNeXt: Robust Foveal Visual Perception for Vision Transformers"](https:
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## Updates
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***2024.06.08*** We have created an explanatory video for our paper. You can watch it on [YouTube](https://www.youtube.com/watch?v=MTv3QpNXMU8) or [BiliBili](https://www.bilibili.com/video/BV1693ReyE9F).
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***2024.04.20*** We have released the complete training and inference code, pre-trained model weights, and training
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logs!
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@@ -158,11 +160,11 @@ This project is released under the Apache 2.0 license. Please see the [LICENSE](
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If you find our work helpful, please consider citing the following bibtex. We would greatly appreciate a star for this
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project.
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@misc{shi2023transnext,
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author = {Dai Shi},
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title = {TransNeXt: Robust Foveal Visual Perception for Vision Transformers},
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year = {2023},
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eprint = {arXiv:2311.17132},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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@InProceedings{shi2023transnext,
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author = {Dai Shi},
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title = {TransNeXt: Robust Foveal Visual Perception for Vision Transformers},
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booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
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month = {June},
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year = {2024},
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pages = {17773-17783}
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}

‎classification/README.md

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If you find our work helpful, please consider citing the following bibtex. We would greatly appreciate a star for this
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project.
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@misc{shi2023transnext,
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author = {Dai Shi},
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title = {TransNeXt: Robust Foveal Visual Perception for Vision Transformers},
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year = {2023},
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eprint = {arXiv:2311.17132},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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@InProceedings{shi2023transnext,
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author = {Dai Shi},
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title = {TransNeXt: Robust Foveal Visual Perception for Vision Transformers},
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booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
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month = {June},
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year = {2024},
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pages = {17773-17783}
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}

‎detection/README.md

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@@ -51,12 +51,12 @@ This project is released under the Apache 2.0 license. Please see the [LICENSE](
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If you find our work helpful, please consider citing the following bibtex. We would greatly appreciate a star for this
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project.
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@misc{shi2023transnext,
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author = {Dai Shi},
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title = {TransNeXt: Robust Foveal Visual Perception for Vision Transformers},
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year = {2023},
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eprint = {arXiv:2311.17132},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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@InProceedings{shi2023transnext,
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author = {Dai Shi},
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title = {TransNeXt: Robust Foveal Visual Perception for Vision Transformers},
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booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
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month = {June},
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year = {2024},
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pages = {17773-17783}
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}
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‎detection/dino/README.md

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@@ -63,11 +63,11 @@ This project is released under the Apache 2.0 license. Please see the [LICENSE](
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If you find our work helpful, please consider citing the following bibtex. We would greatly appreciate a star for this
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project.
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@misc{shi2023transnext,
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author = {Dai Shi},
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title = {TransNeXt: Robust Foveal Visual Perception for Vision Transformers},
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year = {2023},
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eprint = {arXiv:2311.17132},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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@InProceedings{shi2023transnext,
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author = {Dai Shi},
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title = {TransNeXt: Robust Foveal Visual Perception for Vision Transformers},
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booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
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month = {June},
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year = {2024},
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pages = {17773-17783}
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}

‎detection/maskrcnn/README.md

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If you find our work helpful, please consider citing the following bibtex. We would greatly appreciate a star for this
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project.
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@misc{shi2023transnext,
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author = {Dai Shi},
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title = {TransNeXt: Robust Foveal Visual Perception for Vision Transformers},
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year = {2023},
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eprint = {arXiv:2311.17132},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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@InProceedings{shi2023transnext,
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author = {Dai Shi},
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title = {TransNeXt: Robust Foveal Visual Perception for Vision Transformers},
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booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
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month = {June},
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year = {2024},
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pages = {17773-17783}
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}

‎segmentation/README.md

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If you find our work helpful, please consider citing the following bibtex. We would greatly appreciate a star for this
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project.
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@misc{shi2023transnext,
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author = {Dai Shi},
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title = {TransNeXt: Robust Foveal Visual Perception for Vision Transformers},
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year = {2023},
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eprint = {arXiv:2311.17132},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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@InProceedings{shi2023transnext,
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author = {Dai Shi},
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title = {TransNeXt: Robust Foveal Visual Perception for Vision Transformers},
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booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
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month = {June},
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year = {2024},
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pages = {17773-17783}
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}
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‎segmentation/mask2former/README.md

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If you find our work helpful, please consider citing the following bibtex. We would greatly appreciate a star for this
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project.
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@misc{shi2023transnext,
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author = {Dai Shi},
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title = {TransNeXt: Robust Foveal Visual Perception for Vision Transformers},
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year = {2023},
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eprint = {arXiv:2311.17132},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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@InProceedings{shi2023transnext,
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author = {Dai Shi},
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title = {TransNeXt: Robust Foveal Visual Perception for Vision Transformers},
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booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
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month = {June},
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year = {2024},
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pages = {17773-17783}
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}

‎segmentation/upernet/README.md

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If you find our work helpful, please consider citing the following bibtex. We would greatly appreciate a star for this
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project.
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@misc{shi2023transnext,
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author = {Dai Shi},
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title = {TransNeXt: Robust Foveal Visual Perception for Vision Transformers},
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year = {2023},
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eprint = {arXiv:2311.17132},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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@InProceedings{shi2023transnext,
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author = {Dai Shi},
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title = {TransNeXt: Robust Foveal Visual Perception for Vision Transformers},
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booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
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month = {June},
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year = {2024},
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pages = {17773-17783}
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}

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