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1
MDCGA-Net: Multiscale Direction Context-Aware Network With Global Attention for Building Extraction From Remote Sensing Images
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MDCGA-Net: Multiscale Direction Context-Aware Network With Global Attention for Building Extraction From Remote Sensing Images

IEEE 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: IJSTHZ

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2
Frequency-Driven Edge Guidance Network for Semantic Segmentation of Remote Sensing Images
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Frequency-Driven Edge Guidance Network for Semantic Segmentation of Remote Sensing Images

IEEE 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: IJSTHZ

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3
A cross-view intelligent person search method based on multi-feature constraints
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A cross-view intelligent person search method based on multi-feature constraints

International journal of digital earth, 2024-12, Vol.17 (1) [Peer Reviewed Journal]

ISSN: 1753-8947 ;EISSN: 1753-8955 ;DOI: 10.1080/17538947.2024.2346259

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4
Fire regime attributes shape pre-fire vegetation characteristics controlling extreme fire behavior under different bioregions in Spain
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Fire regime attributes shape pre-fire vegetation characteristics controlling extreme fire behavior under different bioregions in Spain

Fire 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-w

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5
Many-Shot In-Context Learning in Multimodal Foundation Models
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Many-Shot In-Context Learning in Multimodal Foundation Models

arXiv.org, 2024-05

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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.09798

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6
Context Matters: Leveraging Spatiotemporal Metadata for Semi-Supervised Learning on Remote Sensing Images
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Context Matters: Leveraging Spatiotemporal Metadata for Semi-Supervised Learning on Remote Sensing Images

arXiv.org, 2024-04

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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2404.18583

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