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Information Maximization Clustering via Multi-View Self-Labelling
v1v2 (latest)

Information Maximization Clustering via Multi-View Self-Labelling

Knowledge-Based Systems (KBS), 2021
12 March 2021
Foivos Ntelemis
Yaochu Jin
S. Thomas
    SSL
ArXiv (abs)PDFHTML

Papers citing "Information Maximization Clustering via Multi-View Self-Labelling"

10 / 10 papers shown
Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised
  Class Incremental Learning
Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised Class Incremental Learning
Jiaming Liu
Hongyuan Liu
Zhili Qin
Wei Han
Yulu Fan
Qinli Yang
Junming Shao
CLL
319
1
0
19 Aug 2024
Towards Generalized Multi-stage Clustering: Multi-view Self-distillation
Towards Generalized Multi-stage Clustering: Multi-view Self-distillation
Jiatai Wang
Zhiwei Xu
Xin Wang
Tao Li
275
1
0
29 Oct 2023
Grid Jigsaw Representation with CLIP: A New Perspective on Image Clustering
Grid Jigsaw Representation with CLIP: A New Perspective on Image Clustering
Zijie Song
Zhenzhen Hu
Richang Hong
SSL
529
1
0
27 Oct 2023
Snapshot Spectral Clustering -- a costless approach to deep clustering
  ensembles generation
Snapshot Spectral Clustering -- a costless approach to deep clustering ensembles generationIEEE International Joint Conference on Neural Network (IJCNN), 2023
Adam Piróg
Halina Kwasnicka
222
1
0
17 Jul 2023
Image Clustering via the Principle of Rate Reduction in the Age of
  Pretrained Models
Image Clustering via the Principle of Rate Reduction in the Age of Pretrained ModelsInternational Conference on Learning Representations (ICLR), 2023
Tianzhe Chu
Shengbang Tong
Tianjiao Ding
Xili Dai
B. Haeffele
René Vidal
Yi Ma
SSLVLM
419
22
0
08 Jun 2023
Novel Class Discovery: an Introduction and Key Concepts
Novel Class Discovery: an Introduction and Key Concepts
Colin Troisemaine
V. Lemaire
Stéphane Gosselin
Alexandre Reiffers-Masson
Joachim Flocon-Cholet
Sandrine Vaton
250
34
0
22 Feb 2023
Understanding Concept Identification as Consistent Data Clustering
  Across Multiple Feature Spaces
Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces
Felix Lanfermann
Sebastian Schmitt
Patricia Wollstadt
85
2
0
13 Jan 2023
Unsupervised Manifold Linearizing and Clustering
Unsupervised Manifold Linearizing and ClusteringIEEE International Conference on Computer Vision (ICCV), 2023
Tianjiao Ding
Shengbang Tong
Kwan Ho Ryan Chan
Xili Dai
Yi Ma
B. Haeffele
290
18
0
04 Jan 2023
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and
  Future Directions
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future DirectionsACM Computing Surveys (ACM CSUR), 2022
Sheng Zhou
Hongjia Xu
Zhuonan Zheng
Jiawei Chen
Zhao Li
Jiajun Bu
Jia Wu
Xin Eric Wang
Wenwu Zhu
Martin Ester
301
181
0
15 Jun 2022
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
1.5K
4,857
0
17 Jun 2020
1
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