Feb 26, 2020 · In this survey, we define various MDA strategies and summarize available datasets for evaluation. We also compare modern MDA methods in the deep ...
This survey defines various MDA strategies and summarize available datasets for evaluation, and compares modern MDA methods in the deep learning era.
In this survey, we define various MDA strategies and summarize available datasets for evaluation. We also compare modern MDA methods in the deep learning era, ...
Feb 26, 2020 · In this survey, we define various MDA strategies and summarize available datasets for evaluation. We also compare modern MDA methods in the deep ...
May 1, 2024 · In this survey, we first define various MDA strategies. Then we systematically summarize and compare modern MDA methods in the deep learning era ...
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What is multi source domain adaptation?
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In this paper, we propose a simple but effective method called Category and Domain Features Augmentation (CDFA), which consists of two components.
Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey · 来自arXiv.org. 作者. S Zhao，B Li，C Reed，P Xu，K Keutzer. 摘要. In many practical ...
This article analyzes and compares the performance of various popular MSDA methods [MDAN, Domain AggRegation Networks (DARN), Multi-Domain Matching Networks ( ...
Aug 24, 2024 · Multi-source domain adaptation in the deep learning era: A systematic survey. arXiv preprint arXiv:2002.12169 (2020). Google Scholar. [50].
This paper proposes a novel multi-source distilling domain adaptation (MDDA) network, which not only considers the different distances among multiple ...