Domain Adaptation Using the Replay Buffer: Adaptive Sampling Using Domain-Specific Classifier
Domain adaptation is a method used to reduce discrepancy between source and target domains and to enhance generalization performance by transforming the distribution of source images. This study proposes a method to improve domain adaptation, which is based on selecting feature-rich images from thei...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10769076/ |
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