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  "author": "Xumin Yu",
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  "author": "Xumin Yu",
            
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  "citation": [],
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  "doi": "10.57702/1riqtozk",
            
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  "doi_date_published": "2024-12-16",
            
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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": "Lulu Tang",
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      "extra_author": "Lulu Tang",
            
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      "orcid": ""
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    },
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    {
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    {
            
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      "extra_author": "Yongming Rao",
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      "extra_author": "Yongming Rao",
            
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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": "Tiejun Huang",
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      "extra_author": "Tiejun Huang",
            
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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": "Jie Zhou",
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      "extra_author": "Jie Zhou",
            
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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": "Jiwen Lu",
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      "extra_author": "Jiwen Lu",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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      "title": "3D Vision"
            
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      "description": "",
            
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  "name": 
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  "name": 
            
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-pre-training-3d-point-cloud-transformers-with-masked-point-modeling",
            
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  "notes": "Point-BERT is a new paradigm for learning point cloud 
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  "notes": "Point-BERT is a new paradigm for learning point cloud 
            
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Transformers. It pre-trains standard point cloud Transformers with a 
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Transformers. It pre-trains standard point cloud Transformers with a 
            
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Masked Point Modeling (MPM) task.",
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      "display_name": "Pre-training",
            
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      "id": "c3559a2b-f8ff-4816-983f-16d506278772",
            
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      "name": "Pre-training",
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  ],
            
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  "title": "Point-BERT: Pre-training 3D Point Cloud Transformers with 
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  "title": "Point-BERT: Pre-training 3D Point Cloud Transformers with 
            
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Masked Point Modeling",
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Masked Point Modeling",
            
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}
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}