# 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} }