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{
            
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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Wele Gedara Chaminda Bandara",
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  "author": "Wele Gedara Chaminda Bandara",
            
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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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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2204.08454",
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  "defined_in": "https://doi.org/10.48550/arXiv.2204.08454",
            
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  "doi": "10.57702/89ulpvgj",
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  "doi": "10.57702/89ulpvgj",
            
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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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  "doi_status": false,
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  "doi_status": true,
            
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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": "Vishal M. Patel",
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      "extra_author": "Vishal M. Patel",
            
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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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  "groups": [
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  "groups": [
            
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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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      "id": "97c3d850-9f47-42fe-adb5-ceade3aa9627",
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      "id": "97c3d850-9f47-42fe-adb5-ceade3aa9627",
            
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      "image_display_url": "",
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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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    }
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    }
            
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  ],
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  ],
            
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  "id": "608b0184-0788-474d-afbf-8f523ed02072",
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  "id": "608b0184-0788-474d-afbf-8f523ed02072",
            
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  "isopen": false,
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  "isopen": false,
            
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  "landing_page": "https://github.com/wgcban/SemiCD",
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  "landing_page": "https://github.com/wgcban/SemiCD",
            
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  "license_title": null,
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  "license_title": null,
            
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  "link_orkg": "",
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  "link_orkg": "",
            
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  "metadata_created": "2024-12-16T17:28:33.575833",
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  "metadata_created": "2024-12-16T17:28:33.575833",
            
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  "metadata_modified": "2024-12-16T17:28:33.575838",
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  "metadata_modified": "2024-12-16T17:28:33.984313",
            
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  "name": "levir",
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  "name": "levir",
            
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  "notes": "Remote-sensing (RS) Change Detection (CD) aims to de-tect 
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  "notes": "Remote-sensing (RS) Change Detection (CD) aims to de-tect 
            
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\u201cchanges of interest\u201d from co-registered bi-temporal images. 
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\u201cchanges of interest\u201d from co-registered bi-temporal images. 
            
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The performance of existing deep supervised CD methods is attributed 
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The performance of existing deep supervised CD methods is attributed 
            
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to the large amounts of annotated data used to train the networks. 
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to the large amounts of annotated data used to train the networks. 
            
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However, annotating large amounts of remote sensing images is labor 
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However, annotating large amounts of remote sensing images is labor 
            
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intensive and expensive, particularly with bi-temporal images, as it 
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intensive and expensive, particularly with bi-temporal images, as it 
            
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requires pixel-wise comparisons by a human expert. On the other hand, 
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requires pixel-wise comparisons by a human expert. On the other hand, 
            
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we often have access to unlimited unlabeled multi-temporal RS imagery 
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we often have access to unlimited unlabeled multi-temporal RS imagery 
            
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thanks to ever-increasing earth observation programs.",
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thanks to ever-increasing earth observation programs.",
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2024-11-25T12:11:38.292601",
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    "created": "2024-11-25T12:11:38.292601",
            
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      "created": "2024-12-16T18:25:28",
            
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      "description": "The json representation of the dataset with its 
            
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distributions based on DCAT.",
            
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      "format": "JSON",
            
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      "hash": "",
            
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  "tags": [
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  "tags": [
            
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    {
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      "display_name": "bi-temporal images",
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      "display_name": "bi-temporal images",
            
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      "name": "bi-temporal images",
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      "display_name": "change detection",
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      "display_name": "change detection",
            
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      "id": "cdfdca1d-d3b7-42e9-9c53-dbfc318657ff",
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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": "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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    }
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  ],
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  ],
            
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  "title": "LEVIR",
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  "title": "LEVIR",
            
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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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}