no code implementations • 29 Oct 2023 • Jiatai Wang, Zhiwei Xu, Xin Wang, Tao Li
MVC aims at exploring common semantics and pseudo-labels from multiple views and clustering in a self-supervised manner.
no code implementations • 28 Oct 2023 • Jiatai Wang, Zhiwei Xu, Xuewen Yang, Xin Wang
Multi-view clustering (MVC) can explore common semantics from unsupervised views generated by different sources, and thus has been extensively used in applications of practical computer vision.
no code implementations • 18 Sep 2023 • Jiatai Wang, Zhiwei Xu, Xuewen Yang, Hailong Li, Bo Li, Xuying Meng
However, as contrastive learning continues to evolve within the field of computer vision, self-supervised learning has also made substantial research progress and is progressively becoming dominant in MVC methods.
no code implementations • 28 Sep 2022 • Dongjin Guo, Xiaoming Su, Jiatai Wang, Limin Liu, Zhiyong Pei, Zhiwei Xu
2) For missing data, the representations generated by existing methods are rarely guaranteed to suit clustering tasks.
no code implementations • 24 Sep 2022 • Jiatai Wang, Zhiwei Xu, Xuewen Yang, Dongjin Guo, Limin Liu
Incomplete Multi-View Clustering aims to enhance clustering performance by using data from multiple modalities.