[
  {
    "mIoU": 76,
    "code_links": [
      {
        "title": "QingyongHu/RandLA-Net",
        "url": "https://github.com/QingyongHu/RandLA-Net"
      },
      {
        "title": "aRI0U/RandLA-Net-pytorch",
        "url": "https://github.com/aRI0U/RandLA-Net-pytorch"
      }
    ],
    "date": "2019-11-25",
    "date2": 20191125,
    "model": "RandLA-Net",
    "paper": {
      "title": "RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds",
      "url": "https://cknow.io/lib/17f3b347b5ac0a5c"
    },
    "paper_data_uoa": "17f3b347b5ac0a5c"
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  {
    "mIoU": 74.6,
    "code_links": [
      {
        "title": "HuguesTHOMAS/KPConv",
        "url": "https://github.com/HuguesTHOMAS/KPConv"
      },
      {
        "title": "HuguesTHOMAS/KPConv-PyTorch",
        "url": "https://github.com/HuguesTHOMAS/KPConv-PyTorch"
      },
      {
        "title": "XuyangBai/KPConv.pytorch",
        "url": "https://github.com/XuyangBai/KPConv.pytorch"
      }
    ],
    "date": "2019-04-18",
    "date2": 20190418,
    "model": "KP-FCNN",
    "paper": {
      "title": "KPConv: Flexible and Deformable Convolution for Point Clouds",
      "url": "https://cknow.io/lib/e7fc258dfd4026a6"
    },
    "paper_data_uoa": "e7fc258dfd4026a6"
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  {
    "mIoU": 58.5,
    "code_links": [
      {
        "title": "TiagoCortinhal/SalsaNext",
        "url": "https://github.com/TiagoCortinhal/SalsaNext"
      }
    ],
    "date": "2017-05-09",
    "date2": 20170509,
    "model": "DeePr3SS",
    "paper": {
      "title": "Deep Projective 3D Semantic Segmentation",
      "url": "https://cknow.io/lib/933b8fe42f47c49d"
    },
    "paper_data_uoa": "933b8fe42f47c49d"
  }
]