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

Research article (2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019) · cited 52× · AI/ML
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Unsupervised Domain Adaptation to Improve Image Segmentation Quality Both in the Source and Target Domain

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Unsupervised Domain Adaptation to Improve Image Segmentation Quality Both in the Source and Target Domain is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Unsupervised Domain Adaptation to Improve Image Segmentation Quality Both in the Source and Target Domain. Retrieved May 24, 2026, from https://4ort.xyz/entity/unsupervised-domain-adaptation-to-improve-image-segmentation-quality-both-in-the-source-and-target-domain
MLA “Unsupervised Domain Adaptation to Improve Image Segmentation Quality Both in the Source and Target Domain.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/unsupervised-domain-adaptation-to-improve-image-segmentation-quality-both-in-the-source-and-target-domain.
BibTeX @misc{4ortxyz_unsupervised-domain-adaptation-to-improve-image-segmentation-quality-both-in-the-source-and-target-domain_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Unsupervised Domain Adaptation to Improve Image Segmentation Quality Both in the Source and Target Domain}}, year = {2026}, url = {https://4ort.xyz/entity/unsupervised-domain-adaptation-to-improve-image-segmentation-quality-both-in-the-source-and-target-domain}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Unsupervised Domain Adaptation to Improve Image Segmentation Quality Both in the Source and Target Domain — https://4ort.xyz/entity/unsupervised-domain-adaptation-to-improve-image-segmentation-quality-both-in-the-source-and-target-domain (retrieved 2026-05-24)

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