Domain‐specific feature recalibration and alignment for multi‐source unsupervised domain adaptation
Abstract Traditional unsupervised domain adaptation (UDA) usually assumes that the source domain has labels and the target domain has no labels. In a real environment, labelled source domain data usually comes from multiple different distributions. To handle this problem, multi‐source unsupervised d...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-02-01
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| Series: | IET Computer Vision |
| Online Access: | https://doi.org/10.1049/cvi2.12126 |