ICCV, 2023
Xiangtai Li
·
Haobo Yuan
·
Wenwei Zhang
·
Guangliang Cheng
Jiangmiao Pang
.
Chen Change Loy*
Universal Video Segmentation Model For VSS, VPS, and VIS
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Update Swin Large Config For Tube-Link VPS on VIP-Seg.
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Code released!!
- A new framework unifies online video segmentation methods and near online video segmentation methods.
- A new unified solution for three video segmentation tasks: VSS, VIS, and VPS.
- The first video segmentation method that explores the cross-tube relation.
- Proposed Tube-wise matching performs better than Frame-wise matching.
- Achieves strong performance on VIS, VSS, and VPS datasets (five datasets) in one unified architecture.
- Achieves even better performance than those specific architectures.
See Dataset.md
See Install.md
See Train.md
If you think both Tube-Link and its codebase are useful for your research, please consider referring Tube-Link:
@inproceedings{li2023tube,
title={Tube-link: A flexible cross tube baseline for universal video segmentation},
author={Li, Xiangtai and Yuan, Haobo and Zhang, Wenwei and Cheng, Guangliang and Pang, Jiangmiao and Loy, Chen Change},
booktitle={ICCV},
year={2023}
}
@inproceedings{li2022videoknet,
title={Video k-net: A simple, strong, and unified baseline for video segmentation},
author={Li, Xiangtai and Zhang, Wenwei and Pang, Jiangmiao and Chen, Kai and Cheng, Guangliang and Tong, Yunhai and Loy, Chen Change},
booktitle={CVPR},
year={2022}
}
MIT