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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Chenfeng Xu",
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  "author": "Chenfeng Xu",
            
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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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  "defined_in": "https://doi.org/10.48550/arXiv.2004.01803",
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  "defined_in": "https://doi.org/10.48550/arXiv.2004.01803",
            
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  "doi": "10.57702/055z53bg",
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  "doi": "10.57702/055z53bg",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-02",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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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": "Bichen Wu",
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      "extra_author": "Bichen Wu",
            
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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": "Zining Wang",
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      "extra_author": "Zining Wang",
            
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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": "Wei Zhan",
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      "extra_author": "Wei Zhan",
            
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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": "Peter Vajda",
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      "extra_author": "Peter Vajda",
            
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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": "Kurt Keutzer",
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      "extra_author": "Kurt Keutzer",
            
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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": "Masayoshi Tomizuka",
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      "extra_author": "Masayoshi Tomizuka",
            
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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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    {
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      "description": "",
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      "description": "",
            
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      "display_name": "Point Cloud Segmentation",
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      "display_name": "Point Cloud Segmentation",
            
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      "name": "point-cloud-segmentation",
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      "name": "point-cloud-segmentation",
            
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      "title": "Point Cloud Segmentation"
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      "title": "Point Cloud Segmentation"
            
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    }
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  "landing_page": "https://github.com/chenfengxu714/SqueezeSegV3",
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  "license_title": null,
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  "metadata_modified": "2024-12-02T22:50:41.304891",
            
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  "name": 
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  "name": 
            
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patially-adaptive-convolution-for-efficient-point-cloud-segmentation",
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patially-adaptive-convolution-for-efficient-point-cloud-segmentation",
            
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  "notes": "LiDAR point-cloud segmentation is an important problem for 
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  "notes": "LiDAR point-cloud segmentation is an important problem for 
            
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many applications. For large-scale point cloud segmentation, the de 
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many applications. For large-scale point cloud segmentation, the de 
            
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facto method is to project a 3D point cloud to get a 2D LiDAR image 
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facto method is to project a 3D point cloud to get a 2D LiDAR image 
            
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and use convolutions to process it.",
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and use convolutions to process it.",
            
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      "name": "LiDAR",
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      "display_name": "Point Cloud",
            
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      "id": "23509753-62ca-44b6-adcc-aa97e99d8cee",
            
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      "name": "Point Cloud",
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      "name": "Point Cloud",
            
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      "state": "active",
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "Segmentation",
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      "display_name": "Segmentation",
            
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      "id": "afba543e-f91f-4800-834e-77535c9e8dac",
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      "id": "afba543e-f91f-4800-834e-77535c9e8dac",
            
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      "name": "Segmentation",
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      "name": "Segmentation",
            
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      "vocabulary_id": null
            
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    }
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  ],
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  ],
            
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  "title": "SqueezeSegV3: Spatially-Adaptive Convolution for Efficient 
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  "title": "SqueezeSegV3: Spatially-Adaptive Convolution for Efficient 
            
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Point-Cloud Segmentation",
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Point-Cloud Segmentation",
            
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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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}