Inter-Class and Inter-Domain Semantic Augmentation for Domain Generalization-Reference-Cited by-同舟云学术

Inter-Class and Inter-Domain Semantic Augmentation for Domain Generalization

Published:2024 Issue: Volume:33 Page:1338-1347
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Wang Mengzhu¹^ORCID,Liu Yuehua²,Yuan Jianlong³,Wang Shanshan⁴^ORCID,Wang Zhibin³^ORCID,Wang Wei⁵

Affiliation:

1. College of Artificial Intelligence, Hebei University of Technology, Tianjin, China

2. Aerospace Information Research Institute and the Key Laboratory of Network Information System Technology (NIST), Chinese Academy of Sciences, Beijing, China

3. Alibaba Group, DAMO Academy, Beijing, China

4. Anhui University, Hefei, China

5. School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities, Sun Yat-sen University

National Natural Science Fund of China

University Synergy Innovation Program of Anhui Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/83/10346232/10413301.pdf?arnumber=10413301

Reference69 articles.

1. Deep Residual Learning for Image Recognition

2. InterBN: Channel Fusion for Adversarial Unsupervised Domain Adaptation

3. Domain Adaptation via Transfer Component Analysis

4. Domain generalization via invariant feature representation;Muandet

5. A Fourier-based Framework for Domain Generalization

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