Domain Adaptation Across Geographic Regions Through Region-Specific Feature Learning and Distribution Matching
Deep neural networks achieve high accuracy in image recognition. However, they struggle with domain shifts, particularly from geographic variations. Although conventional domain adaptation methods address generalization across domains, such as real-to-clipart transfer, they do not address geographic...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11115023/ |
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