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Generalized Source-Free Domain Adaptation [PDF]

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021
Accepted by ICCV 2021; Update the acknowledgement ...
Shiqi Yang, Yaxing Wang, Luis Herranz
exaly   +6 more sources

Multi-Source Contribution Learning for Domain Adaptation

IEEE Transactions on Neural Networks and Learning Systems, 2022
Transfer learning becomes an attractive technology to tackle a task from a target domain by leveraging previously acquired knowledge from a similar domain (source domain).
Hua Zuo, Jie Lu, Guangquan Zhang
exaly   +2 more sources

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A Survey of Multi-Source Domain Adaptation

Information Fusion, 2015
Theoretical developments on multi-source domain adaptation are reviewed.Well developed algorithms on multi-source domain adaptation are reviewed and categorized.Performance measurements and benchmark data for multi-source domain adaptation are summarized.Interesting open problems that can be explored in future are discussed.
Shiliang Sun, Yuanbin Wu
exaly   +2 more sources

Diffusion Process for the Domain-Source

Lobachevskii Journal of Mathematics, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources