Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery-Reference-Cited by-同舟云学术

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Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Zhao Bingchen¹,Wen Xin²,Han Kai²

Affiliation:

1. University of Edinburgh

2. The University of Hong Kong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10376982.pdf?arnumber=10376982

Cited by 7 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

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2. Generalized Category Discovery for Remote Sensing Image Scene Classification;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. Unknown Sample Selection and Discriminative Classifier Learning for Generalized Category Discovery;Journal of Visual Communication and Image Representation;2024-06

4. Open-World Semi-Supervised Learning for Node Classification;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

5. HSC3D: A Python package to quantify three‐dimensional habitat structural complexity;Methods in Ecology and Evolution;2024-02-27

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