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Material Type: Article
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MDCGA-Net: Multiscale Direction Context-Aware Network With Global Attention for Building Extraction From Remote Sensing ImagesIEEE journal of selected topics in applied earth observations and remote sensing, 2024, Vol.17, p.8461-8476 [Peer Reviewed Journal]ISSN: 1939-1404 ;EISSN: 2151-1535 ;DOI: 10.1109/JSTARS.2024.3387969 ;CODEN: IJSTHZFull text available |
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Material Type: Article
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Frequency-Driven Edge Guidance Network for Semantic Segmentation of Remote Sensing ImagesIEEE journal of selected topics in applied earth observations and remote sensing, 2024, Vol.17, p.9677-9693 [Peer Reviewed Journal]ISSN: 1939-1404 ;EISSN: 2151-1535 ;DOI: 10.1109/JSTARS.2024.3393531 ;CODEN: IJSTHZFull text available |
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Material Type: Article
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A cross-view intelligent person search method based on multi-feature constraintsInternational journal of digital earth, 2024-12, Vol.17 (1) [Peer Reviewed Journal]ISSN: 1753-8947 ;EISSN: 1753-8955 ;DOI: 10.1080/17538947.2024.2346259Full text available |
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Material Type: Article
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Fire regime attributes shape pre-fire vegetation characteristics controlling extreme fire behavior under different bioregions in SpainFire ecology, 2024-12, Vol.20 (1), p.47 [Peer Reviewed Journal]The Author(s) 2024 ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 1933-9747 ;DOI: 10.1186/s42408-024-00276-wFull text available |
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Material Type: Article
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Many-Shot In-Context Learning in Multimodal Foundation ModelsarXiv.org, 2024-052024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.09798Full text available |
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6 |
Material Type: Article
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Context Matters: Leveraging Spatiotemporal Metadata for Semi-Supervised Learning on Remote Sensing ImagesarXiv.org, 2024-042024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2404.18583Full text available |