An official source code for paper DealMVC: Dual Contrastive Calibration for Multi-view Clustering, accepted by ACM MM 23. Any communications or issues are welcomed. Please contact xihong_edu@163.com. If you find this repository useful to your research or work, it is really appreciate to star this repository. ❤️
Illustration of the motivation of DealMVC.
Illustration of DealMVC: Dual Contrastive Calibration for Multi-view Clustering mechanism.
The performance of our proposed DealMVC in eight datasets.
The proposed DealMVC is implemented with python 3.8.8 on a NVIDIA 1080 Ti GPU.
Python package information is summarized in requirements.txt:
- torch==1.8.0
- tqdm==4.61.2
- numpy==1.21.0
- tensorboard==2.8.0
python test.py
If you use code or datasets in this repository for your research, please cite our paper.
@inproceedings{DealMVC,
title={DealMVC: Dual Contrastive Calibration for Multi-view Clustering},
author={Yang, Xihong and Jin, Jiaqi and Wang, Siwei and Liang, Ke and Liu, Yue and Wen, Yi and Liu, Suyuan and Zhou, Sihang and Liu, Xinwang and Zhu, En},
booktitle={Proceedings of the 31th ACM International Conference on Multimedia},
pages={},
year={2023}
}