Unsupervised Domain Adaptation to Improve Image Segmentation Quality Both in the Source and Target Domain-Reference-Cited by-同舟云学术

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Unsupervised Domain Adaptation to Improve Image Segmentation Quality Both in the Source and Target Domain

Published:2019-06 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Bolte Jan-Aike,Kamp Markus,Breuer Antonia,Homoceanu Silviu,Schlicht Peter,Huger Fabian,Lipinski Daniel,Fingscheidt Tim

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8972688/9025328/09025397.pdf?arnumber=9025397

Cited by 37 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Cross-domain attention-guided domain adaptive method for image real rain removal;Multimedia Tools and Applications;2024-03-27

3. Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

4. Domain adaptation method for semantic segmentation in marine vessel inspection;2023 IEEE International Conference on Imaging Systems and Techniques (IST);2023-10-17

5. A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02

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