Awesome
(CVPR 2022) MulT: An End-to-End Multitask Learning Transformer
Deblina Bhattacharjee, Tong Zhang, Sabine Süsstrunk and Mathieu Salzmann
The code is released. Thanks for your patience!
CVPR 2022 Paper: https://openaccess.thecvf.com/content/CVPR2022/html/Bhattacharjee_MulT_An_End-to-End_Multitask_Learning_Transformer_CVPR_2022_paper.html
Citation
If you find this work useful, please cite this paper:
@InProceedings{Bhattacharjee_2022_CVPR,
author = {Bhattacharjee, Deblina and Zhang, Tong and S\"usstrunk, Sabine and Salzmann, Mathieu},
title = {MulT: An End-to-End Multitask Learning Transformer},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2022},
pages = {12031-12041}
}
License
[MIT License](https://choosealicense.com/licenses/mit/)