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Updated: Jun 23, 2025

Cross-Modal Multivariate Pattern Analysis
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MV-MR:为自主监督学习和知识蒸提供多种视角和多种表现

Vitaliy Kinakh1, Mariia Drozdova1, Slava Voloshynovskiy1

  • 1Department of Computer Science, University of Geneva, 1227 Carouge, Switzerland.

Entropy (Basel, Switzerland)
|June 26, 2024
PubMed
概括

本研究引入了一种新的自我监督学习和知识蒸方法,称为多视角和多表示 (MV-MR). 在不使用对比学习的情况下,MV-MR在图像分类任务上实现了最先进的性能.

关键词:
图像表示学习学习 图像表示学习知识的蒸知识的蒸.自主监督学习学习半监督学习 半监督学习

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