Self‐supervised multi‐view clustering in computer vision: A survey
Abstract In recent years, multi‐view clustering (MVC) has had significant implications in the fields of cross‐modal representation learning and data‐driven decision‐making. Its main objective is to cluster samples into distinct groups by leveraging consistency and complementary information among mul...
Saved in:
| Main Authors: | Jiatai Wang, Zhiwei Xu, Xuewen Yang, Hailong Li, Bo Li, Xuying Meng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-09-01
|
| Series: | IET Computer Vision |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/cvi2.12299 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Vision Transformers for Image Classification: A Comparative Survey
by: Yaoli Wang, et al.
Published: (2025-01-01) -
Liveness Detection in Computer Vision: Transformer-Based Self-Supervised Learning for Face Anti-Spoofing
by: Arman Keresh, et al.
Published: (2024-01-01) -
Unified Urban Growth Pattern Identification Utilizing a Co-Clustering Tendency and Co-Clusters of Building Density and Diversity
by: Gyoungju Lee, et al.
Published: (2024-12-01) -
The Double-Layer Clustering Based on K-Line Pattern Recognition Based on Similarity Matching
by: Xinglong Li, et al.
Published: (2024-12-01) -
ADAPTIVE VISION AI
by: V. Vodyanitskyi, et al.
Published: (2024-12-01)