[IEEE TCSVT] Vivim: a Video Vision Mamba for Medical Video Segmentation
- 25-04-21. Vivim has been accepted by TCSVT. Welcome to try our dataset!
- 24-08-01. Upload several example cases of VTUS dataset
- 24-03-11. ❗❗Update on Code. Welcome to taste.😄
- 24-02-08. Update on Method and Experiments.
- 24-01-26. This project is still quickly updating 🌝. Check TODO list to see what will be released next.
- 24-01-25. The paper has been released on arXiv.
git clone https://github.com/scott-yjyang/Vivim.git
cd Vivimconda env create -f environment.ymlcd causal-conv1d
python setup.py installcd mamba
python setup.py install- Release Model
- Release training scripts
- Release evaluation
- Release Ultrasound dataset
- Experiments on other video object segmentation datasets.
- configuration
Code is based on hustvl/Vim, bowang-lab/U-Mamba.
If you find it useful, please cite and star
@article{yang2024vivim,
title={Vivim: a Video Vision Mamba for Medical Video Object Segmentation},
author={Yang, Yijun and Xing, Zhaohu and Zhu, Lei},
journal={arXiv preprint arXiv:2401.14168},
year={2024}
}