Domain generalization method based on cross-space multi-scale information aggregation and inference consistency
In machine learning, it typically assumes that training data and testing data of models are drawn from the same distribution. However, in real-world applications, data distributions often differ, resulting in domain shift problems that adversely affect model generalization. Existing domain generaliz...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
POSTS&TELECOM PRESS Co., LTD
2025-06-01
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| Series: | 智能科学与技术学报 |
| Subjects: | |
| Online Access: | http://www.cjist.com.cn/zh/article/doi/10.11959/j.issn.2096-6652.202516/ |
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