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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "G. Hua",
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  "author": "Iaroslav Melekhov",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [],
            
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  "defined_in": "https://doi.org/10.48550/arXiv.1710.11359",
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  "defined_in": "",
            
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  "doi": "10.57702/whu55j86",
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  "doi": "10.57702/whu55j86",
            
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  "doi_date_published": "2024-11-25",
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  "doi_date_published": "2024-11-25",
            
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  "doi_publisher": "TIB",
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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": "M. Brown",
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      "extra_author": "Juho Kannala",
            
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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": "S. Winder",
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      "extra_author": "Esa Rahtu",
            
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  "groups": [
            
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    {
            
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      "description": "",
            
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      "display_name": "Image Patch Matching",
            
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      "id": "ba3a563d-912c-4440-9956-f69e2c48bef2",
            
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      "image_display_url": "",
            
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      "name": "image-patch-matching",
            
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      "title": "Image Patch Matching"
            
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    }
            
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  ],
            
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  "landing_page": "",
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  "landing_page": "https://cs.aalto.fi/u/esa/Research/MSC/",
            
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  "metadata_modified": "2024-12-02T18:02:05.356425",
            
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  "name": "multi-view-stereo-correspondence--msc--dataset",
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  "name": "multi-view-stereo-correspondence--msc--dataset",
            
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  "notes": "The Multi-view Stereo Correspondence (MSC) dataset 
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  "notes": "The dataset used for training and testing the proposed 
            
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consists of more than 1.5M grayscale patches derived from images of 
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descriptor, consisting of more than 1.5M grayscale patches.",
            
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the Statue of Liberty, Notredame, and Yosemite, with positive and 

            
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negative patch pairs used for training a CNN-based image descriptor 

            
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for patch matching.",

            
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