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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Y. Liao",
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  "author": "Kitti-360",
            
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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.2305.16914",

            
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    "https://doi.org/10.48550/arXiv.2208.09777",

            
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    "https://doi.org/10.48550/arXiv.2407.02945",

            
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    "https://doi.org/10.48550/arXiv.2403.11577",

            
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    "https://doi.org/10.48550/arXiv.2403.05907",

            
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    "https://doi.org/10.1109/IROS55552.2023.10342427",

            
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    "https://doi.org/10.48550/arXiv.2403.02037",

            
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    "https://doi.org/10.48550/arXiv.2310.08755"

            
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  ],

            
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  "defined_in": "https://doi.org/10.48550/arXiv.2303.03361",
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  "doi": "10.57702/25ec87q0",
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  "doi": "10.57702/25ec87q0",
            
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  "doi_date_published": "2024-12-16",
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  "doi_date_published": "2024-12-16",
            
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    {

            
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      "extra_author": "J. Xie",

            
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      "orcid": ""

            
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    },

            
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      "extra_author": "A. Geiger",

            
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      "name": "urban-scene-understanding",
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      "name": "urban-scene-understanding",
            
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      "title": "Urban scene understanding"
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      "title": "Urban scene understanding"
            
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  "name": "kitti-360",
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  "name": "kitti-360",
            
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  "notes": "The KITTI-360 dataset is a large-scale benchmark for 
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  "notes": "A dataset for urban scene understanding, containing 
            
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autonomous driving, containing 83,000 annotated frames, including data 
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      "state": "active",

            
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      "vocabulary_id": null

            
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    },

            
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    {

            
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      "display_name": "dataset",

            
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      "id": "ce5ad030-ca3d-47e6-abd1-5c92a2806f1b",

            
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      "name": "dataset",

            
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      "state": "active",

            
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      "vocabulary_id": null

            
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    },

            
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    {

            
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      "display_name": "depth prediction",
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      "display_name": "semantic segmentation",
            
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      "id": "78ccd3fd-c20c-4a8d-85f8-ed65b3d11f86",
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      "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af",
            
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      "name": "depth prediction",
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      "name": "semantic segmentation",
            
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      "state": "active",

            
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      "vocabulary_id": null

            
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    },

            
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    {

            
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      "display_name": "image processing",

            
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      "id": "12b6291b-2e80-4736-935f-cc942880df77",

            
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      "name": "image processing",

            
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      "state": "active",

            
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      "vocabulary_id": null

            
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    },

            
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    {

            
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      "display_name": "monocular depth estimation",

            
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      "id": "b343d8bd-6834-4c6b-a622-fa7a08feacfd",

            
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      "name": "monocular depth estimation",

            
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      "state": "active",

            
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      "vocabulary_id": null

            
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    },

            
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    {

            
360
      "display_name": "point cloud",

            
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      "id": "fcb968fe-38b8-4b04-a049-e69bcf7b9f19",

            
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      "name": "point cloud",

            
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      "state": "active",

            
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      "vocabulary_id": null

            
365
    },

            
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    {

            
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      "display_name": "point cloud upsampling",

            
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      "id": "35b98cb3-89e1-44ac-ab6f-7954158b5dc8",

            
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      "name": "point cloud upsampling",

            
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      "state": "active",

            
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    },

            
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    {

            
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      "display_name": "urban scene",

            
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      "id": "a3efadff-4336-4a0e-9057-1a47fa83b254",

            
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      "name": "urban scene",

            
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      "state": "active",

            
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      "vocabulary_id": null

            
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    },

            
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    {

            
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      "display_name": "urban scene reconstruction",

            
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      "id": "817ea3d6-de86-420c-a8c3-1ff231691ed2",

            
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      "name": "urban scene reconstruction",

            
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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
            
386
    },
76
    },
            
387
    {
77
    {
            
388
      "display_name": "urban scene understanding",
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      "display_name": "urban scene understanding",
            
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      "id": "75efbe43-3b7b-41bf-8983-b6fc5cb0b569",
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      "id": "75efbe43-3b7b-41bf-8983-b6fc5cb0b569",
            
390
      "name": "urban scene understanding",
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      "name": "urban scene understanding",
            
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      "state": "active",
81
      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
393
    }
83
    }
            
394
  ],
84
  ],
            
t
395
  "title": "KITTI-360",
t
85
  "title": "Kitti-360",
            
396
  "type": "dataset",
86
  "type": "dataset",
            
397
  "version": ""
87
  "version": ""
            
398
}
88
}