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  "access_rights": "",
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  "author": "Yongwei Chen",
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  "author": "Yongwei Chen",
            
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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.2210.11277",
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    "https://doi.org/10.48550/arXiv.2210.11277",
            
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    "https://doi.org/10.48550/arXiv.2102.07373"
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  ],
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  "defined_in": "https://doi.org/10.48550/arXiv.1911.10737",
            
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  "doi": "10.57702/9rodm35n",
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  "doi": "10.57702/9rodm35n",
            
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  "doi_date_published": "2024-11-25",
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  "doi_date_published": "2024-11-25",
            
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Rui Chen",
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      "extra_author": "Rui Chen",
            
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    },
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    {
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      "extra_author": "Jiabao Lei",
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    },
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    {
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      "extra_author": "Yabin Zhang",
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      "orcid": ""
            
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    },
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    {
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    {
            
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      "extra_author": "Kui Jia",
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      "extra_author": "Kui Jia",
            
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      "orcid": ""
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      "name": "object-recognition",
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      "name": "object-recognition",
            
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      "title": "Object Recognition"
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      "title": "Object Recognition"
            
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  "name": "modelnet",
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  "name": "modelnet",
            
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  "notes": "ModelNet is a large-scale 3D object recognition dataset 
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  "notes": "ModelNet is a large-scale 3D object recognition dataset 
            
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containing 30,000 models from 50 categories.",
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}