Circle-U-Net: An Efficient Architecture for Semantic Segmentation

Research article (Algorithms, 2021) · cited 17× · AI/ML
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Circle-U-Net: An Efficient Architecture for Semantic Segmentation

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Circle-U-Net: An Efficient Architecture for Semantic Segmentation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Circle-U-Net: An Efficient Architecture for Semantic Segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/circle-u-net-an-efficient-architecture-for-semantic-segmentation
MLA “Circle-U-Net: An Efficient Architecture for Semantic Segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/circle-u-net-an-efficient-architecture-for-semantic-segmentation.
BibTeX @misc{4ortxyz_circle-u-net-an-efficient-architecture-for-semantic-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Circle-U-Net: An Efficient Architecture for Semantic Segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/circle-u-net-an-efficient-architecture-for-semantic-segmentation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Circle-U-Net: An Efficient Architecture for Semantic Segmentation — https://4ort.xyz/entity/circle-u-net-an-efficient-architecture-for-semantic-segmentation (retrieved 2026-05-24)

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