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Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks
Research article (Remote Sensing of Environment, 2023) · cited 486× · AI/ML
Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks
Summary
Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks is a scholarly article[1].
Key Facts
Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/cross-city-matters-a-multimodal-remote-sensing-benchmark-dataset-for-cross-city-semantic-segmentation-using-high-resolut
MLA“Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cross-city-matters-a-multimodal-remote-sensing-benchmark-dataset-for-cross-city-semantic-segmentation-using-high-resolut.
BibTeX@misc{4ortxyz_cross-city-matters-a-multimodal-remote-sensing-benchmark-dataset-for-cross-city-semantic-segmentation-using-high-resolut_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks}}, year = {2026}, url = {https://4ort.xyz/entity/cross-city-matters-a-multimodal-remote-sensing-benchmark-dataset-for-cross-city-semantic-segmentation-using-high-resolut}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks — https://4ort.xyz/entity/cross-city-matters-a-multimodal-remote-sensing-benchmark-dataset-for-cross-city-semantic-segmentation-using-high-resolut (retrieved 2026-05-24)
