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{
            
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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Jia Liu",
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  "author": "Jia Liu",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [],
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  "citation": [],
            
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2204.00154",
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  "defined_in": "https://doi.org/10.48550/arXiv.2204.00154",
            
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  "doi": "10.57702/k86nm0kq",
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  "doi": "10.57702/k86nm0kq",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-16",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "domain": "https://service.tib.eu/ldmservice",
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  "domain": "https://service.tib.eu/ldmservice",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Wenjie Xuan",
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      "extra_author": "Wenjie Xuan",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Yuhang Gan",
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      "extra_author": "Yuhang Gan",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Yibing Zhang",
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      "extra_author": "Yibing Zhang",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Juhua Liu",
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      "extra_author": "Juhua Liu",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Bo Du",
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      "extra_author": "Bo Du",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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    }
            
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  ],
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    {
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      "description": "",
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      "description": "",
            
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      "display_name": "Change Detection",
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      "display_name": "Change Detection",
            
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      "image_display_url": "",
            
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      "name": "change-detection",
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      "name": "change-detection",
            
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      "title": "Change Detection"
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      "title": "Change Detection"
            
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      "description": "",
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      "description": "",
            
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      "name": "remote-sensing",
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      "name": "remote-sensing",
            
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      "title": "Remote Sensing"
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      "title": "Remote Sensing"
            
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    }
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  "isopen": false,
            
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  "landing_page": "https://github.com/Perfect-You/SDACD",
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  "landing_page": "https://github.com/Perfect-You/SDACD",
            
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  "license_title": null,
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  "license_title": null,
            
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  "link_orkg": "",
            
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  "metadata_created": "2024-12-16T19:24:24.216466",
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  "metadata_created": "2024-12-16T19:24:24.216466",
            
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  "metadata_modified": "2024-12-16T19:24:24.579683",
            
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  "name": 
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  "name": 
            
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rvised-domain-adaptation-framework-for-cross-domain-change-detection",
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rvised-domain-adaptation-framework-for-cross-domain-change-detection",
            
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  "notes": "Change detection is a crucial but extremely challenging 
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  "notes": "Change detection is a crucial but extremely challenging 
            
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task in remote sensing image analysis, and much progress has been made 
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task in remote sensing image analysis, and much progress has been made 
            
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with the rapid development of deep learning. However, most existing 
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with the rapid development of deep learning. However, most existing 
            
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deep learning-based change detection methods try to elaborately design 
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deep learning-based change detection methods try to elaborately design 
            
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complicated neural networks with powerful feature representations. 
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complicated neural networks with powerful feature representations. 
            
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However, they ignore the universal domain shift induced by 
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However, they ignore the universal domain shift induced by 
            
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time-varying land cover changes, including luminance fluctuations and 
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time-varying land cover changes, including luminance fluctuations and 
            
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seasonal changes between pre-event and post-event images, thereby 
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seasonal changes between pre-event and post-event images, thereby 
            
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producing suboptimal results.",
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producing suboptimal results.",
            
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      "id": "cdfdca1d-d3b7-42e9-9c53-dbfc318657ff",
            
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      "name": "change detection",
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      "name": "change detection",
            
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      "display_name": "domain adaptation",
            
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      "id": "3c900934-0ab3-4ca7-8f25-6dba88c6bdf0",
            
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      "name": "domain adaptation",
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      "name": "domain adaptation",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "remote sensing",
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      "display_name": "remote sensing",
            
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      "id": "29f44062-0264-4c36-990e-3843d3611d12",
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      "id": "29f44062-0264-4c36-990e-3843d3611d12",
            
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      "name": "remote sensing",
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      "name": "remote sensing",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "An End-to-end Supervised Domain Adaptation Framework for 
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  "title": "An End-to-end Supervised Domain Adaptation Framework for 
            
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Cross-Domain Change Detection",
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Cross-Domain Change Detection",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}