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PWC PWC Python 3.7

๐Ÿ”ฅ [ICLR2023, ECCV2022] Powerful Multi-Task Transformers for Scene Understanding

๐Ÿ“œ Introduction

This repository provides codes and models for two powerful multi-task transformer models for scene understanding:

Hanrong Ye and Dan Xu, TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding. ICLR 2023

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Hanrong Ye and Dan Xu, Inverted Pyramid Multi-task Transformer for Dense Scene Understanding. ECCV 2022

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Cite

BibTex:

@InProceedings{invpt2022,
  title={Inverted Pyramid Multi-task Transformer for Dense Scene Understanding},
  author={Ye, Hanrong and Xu, Dan},
  booktitle={ECCV},
  year={2022}
}
@InProceedings{taskprompter2023,
  title={TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding},
  author={Ye, Hanrong and Xu, Dan},
  booktitle={ICLR},
  year={2023}
}

Please do consider ๐ŸŒŸ star our project to share with your community if you find this repository helpful!

Contact

Please contact Hanrong Ye if any questions.

License

Creative commons license which allows for personal and research use only.

For commercial useage, please contact the authors.

multi-task-transformer's People

Contributors

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