Please refer to SEEM for installation and Mask2Former for data preparation.
bash scripts/train.sh
We appreciate your citations if you find our paper related and useful to your research!
@article{zhang2024historical,
title={Historical test-time prompt tuning for vision foundation models},
author={Zhang, Jingyi and Huang, Jiaxing and Zhang, Xiaoqin and Shao, Ling and Lu, Shijian},
journal={arXiv preprint arXiv:2410.20346},
year={2024}
}
This code is heavily borrowed from SEEM.