Clustering by Maximizing Mutual Information Across Views-Reference-Cited by-同舟云学术

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Clustering by Maximizing Mutual Information Across Views

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Do Kien¹,Tran Truyen¹,Venkatesh Svetha¹

Affiliation:

1. Deakin University,Applied Artificial Intelligence Institute (A2I2),Geelong,Australia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9709627/9709628/09710961.pdf?arnumber=9710961

Reference47 articles.

1. Delving into inter-image invariance for unsupervised visual representations;xie,2020

2. Contrastive multiview coding;tian,2019

3. Understanding the limitations of variational mutual information estimators;song,2019

4. Fixmatch: Simplifying semi-supervised learning with consistency and confidence;sohn,2020

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ECCT: Efficient Contrastive Clustering via Pseudo-Siamese Vision Transformer and Multi-view Augmentation;Neural Networks;2024-12

2. Contrastive cross-modal clustering with twin network;Pattern Recognition;2024-11

3. A deep clustering framework integrating pairwise constraints and a VMF mixture model;Electronic Research Archive;2024

4. Disturbed Augmentation Invariance for Unsupervised Visual Representation Learning;IEEE Transactions on Circuits and Systems for Video Technology;2023-11

5. Multimodal Variational Auto-encoder based Audio-Visual Segmentation;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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