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  "access_rights": "",
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  "author": "Chen Rui",
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  "author": "Chen Rui",
            
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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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    "https://doi.org/10.48550/arXiv.2109.01800",
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    "https://doi.org/10.48550/arXiv.2109.01800",
            
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    "https://doi.org/10.48550/arXiv.2006.00684",
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    "https://doi.org/10.48550/arXiv.2006.00684",
            
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    "https://doi.org/10.1109/TPAMI.2018.2868195"
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    "https://doi.org/10.1109/TPAMI.2018.2868195"
            
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  ],
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  "defined_in": "https://doi.org/10.48550/arXiv.2305.01507",
            
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  "doi": "10.57702/755hx8x6",
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  "doi": "10.57702/755hx8x6",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-02",
            
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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": "Guo Youwei",
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      "extra_author": "Guo Youwei",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Zheng Huafei",
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      "extra_author": "Zheng Huafei",
            
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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": "Jiang Hongyu",
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      "extra_author": "Jiang Hongyu",
            
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      "orcid": ""
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      "orcid": ""
            
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      "name": "real-world-datasets",
            
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      "title": "Real-World Datasets"
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      "name": "real-world-object-reconstruction",
            
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      "title": "Real-world Object Reconstruction"
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      "title": "Real-world Object Reconstruction"
            
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      "description": "",
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      "description": "",
            
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      "name": "uav-detection",
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      "name": "uav-detection",
            
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      "title": "UAV Detection"
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      "title": "UAV Detection"
            
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  "name": "real-world-dataset",
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  "name": "real-world-dataset",
            
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  "notes": "The dataset used in this paper for testing the 3D-RecGAN++ 
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  "notes": "The dataset used in this paper for testing the 3D-RecGAN++ 
            
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model. It contains 1.5k SV and 2.5k CV testing datasets for each of 
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model. It contains 1.5k SV and 2.5k CV testing datasets for each of 
            
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the 6 categories.",
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the 6 categories.",
            
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      "display_name": "image processing",
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      "display_name": "image processing",
            
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      "id": "12b6291b-2e80-4736-935f-cc942880df77",
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      "id": "12b6291b-2e80-4736-935f-cc942880df77",
            
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      "name": "image processing",
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      "name": "image processing",
            
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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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    {
239
    {
            
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      "display_name": "real-world",
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      "display_name": "real-world",
            
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      "id": "1efa3e08-28e7-473d-8651-6239ad5c99db",
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      "id": "1efa3e08-28e7-473d-8651-6239ad5c99db",
            
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      "name": "real-world",
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      "name": "real-world",
            
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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": "symbol spotting",
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      "display_name": "symbol spotting",
            
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      "id": "1fba9015-41bf-4ff4-b6fe-6af313cfac36",
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      "id": "1fba9015-41bf-4ff4-b6fe-6af313cfac36",
            
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      "name": "symbol spotting",
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      "name": "symbol spotting",
            
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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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  "title": "Real-world dataset",
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  "title": "Real-world dataset",
            
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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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}