# Accepted by CVPR 2022.

# Paper:
  https://openaccess.thecvf.com/content/CVPR2022/html/Xu_Multi-Level_Feature_Learning_for_Contrastive_Multi-View_Clustering_CVPR_2022_paper.html

# To test the trained model, run:
  python test.py

# To train a new model, run:
  python train.py

# The experiments are carried out on a Windows PC with NVIDIA GeForce RTX 3090 GPU (24.0GB caches) and 11th Gen Intel(R) Core(TM) i5-11600KF @ 3.90GHz, 16.0GB RAM.

# citation
@InProceedings{Xu_2022_CVPR,
    author    = {Xu, Jie and Tang, Huayi and Ren, Yazhou and Peng, Liang and Zhu, Xiaofeng and He, Lifang},
    title     = {Multi-Level Feature Learning for Contrastive Multi-View Clustering},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    year      = {2022},
    pages     = {16051-16060}
}