Domain-Specific Bias Filtering for Single Labeled Domain Generalization-Reference-Cited by-同舟云学术

Domain-Specific Bias Filtering for Single Labeled Domain Generalization

Published:2022-11-24 Issue:2 Volume:131 Page:552-571
ISSN:0920-5691
Container-title:International Journal of Computer Vision
language:en
Short-container-title:Int J Comput Vis

Author:

Yuan Junkun^ORCID,Ma Xu,Chen Defang,Kuang Kun,Wu Fei,Lin Lanfen

Funder

National Key Research and Development Program of China

Young Elite Scientists Sponsorship Program by CAST

National Natural Science Foundation of China

Project by Shanghai AI Laboratory

the Starry Night Science Fund of Zhejiang University Shanghai Institute for Advanced Study

the Fundamental Research Funds for the Central Universities

Natural Science Foundation of Zhejiang Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s11263-022-01712-7.pdf

Reference94 articles.

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3. Bellitto, G., Proietto Salanitri, F., Palazzo, S., et al. (2021). Hierarchical domain-adapted feature learning for video saliency prediction. International Journal of Computer Vision (IJCV), 129(12), 3216–3232.

4. Ben-David, S., Blitzer, J., Crammer, K., et al. (2010). A theory of learning from different domains. Machine Learning, 79(1–2), 151–175.

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