AdaptCMVC
This is the implementation of AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering, published in CVPR 2025
Install / Use
/learn @Wjing-bjtu/AdaptCMVCREADME
AdaptCMVC
This repository provides the implementations of AdaptCMVC, presented in the paper:
"AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering" by Jing Wang, Songhe Feng, Kristoffer Knutsen Wickstrøm, Michael C. Kampffmeyer, in CVPR 2025.
BibTeX:
@inproceedings{wangAdaptCMVC,
title = {AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering},
author = {Jing Wang and Songhe Feng and Kristoffer Knutsen Wickstrøm and Michael C. Kampffmeyer},
year = 2025,
booktitle = {2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
pages = {10285-10294}
}
Installation
Requires Python >= 3.8 (tested on 3.9)
The version of key required packages are stated below:
numpy==1.23.4
torch==1.12.1
torchvision==0.13.1
scikit-learn==1.3.2
Running an experiment
base model training: python source.py
continual multi-view clustering: python main.py
