Paper: AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering (Link)

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