[
  {
    "Mean AUC": 73.4,
    "code_links": [
      {
        "title": "zju3dv/pvnet",
        "url": "https://github.com/zju3dv/pvnet"
      },
      {
        "title": "a2824256/6D-Object-Pose-Prediction-Material",
        "url": "https://github.com/a2824256/6D-Object-Pose-Prediction-Material"
      }
    ],
    "date": "2018-12-31",
    "date2": 20181231,
    "model": "PVNet",
    "paper": {
      "title": "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation",
      "url": "https://cknow.io/lib/59156dc4489b54d9"
    },
    "paper_data_uoa": "59156dc4489b54d9"
  },
  {
    "Accuracy (ADD)": 39,
    "code_links": [
      {
        "title": "cvlab-epfl/segmentation-driven-pose",
        "url": "https://github.com/cvlab-epfl/segmentation-driven-pose"
      },
      {
        "title": "sjtuytc/segmentation-driven-pose",
        "url": "https://github.com/sjtuytc/segmentation-driven-pose"
      },
      {
        "title": "AP-EPFL/DA-segmentation-driven-pose",
        "url": "https://github.com/AP-EPFL/DA-segmentation-driven-pose"
      }
    ],
    "date": "2018-12-06",
    "date2": 20181206,
    "model": "SegDriven",
    "paper": {
      "title": "Segmentation-driven 6D Object Pose Estimation",
      "url": "https://cknow.io/lib/5b24ac8b747a6afd"
    },
    "paper_data_uoa": "5b24ac8b747a6afd"
  },
  {
    "Accuracy (ADD)": 21.3,
    "code_links": [
      {
        "title": "yuxng/PoseCNN",
        "url": "https://github.com/yuxng/PoseCNN"
      },
      {
        "title": "hz-ants/Posecnn",
        "url": "https://github.com/hz-ants/Posecnn"
      },
      {
        "title": "phucvu460/densefusion",
        "url": "https://github.com/phucvu460/densefusion"
      },
      {
        "title": "caoquan95/6D-pose-project",
        "url": "https://github.com/caoquan95/6D-pose-project"
      }
    ],
    "date": "2017-11-01",
    "date2": 20171101,
    "model": "PoseCNN",
    "paper": {
      "title": "PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes",
      "url": "https://cknow.io/lib/6cecbebbaf24868a"
    },
    "paper_data_uoa": "6cecbebbaf24868a"
  },
  {
    "BOP2019 (VSD+MSSD+MSPD)": 0.668,
    "code_links": [
      {
        "title": "kirumang/Pix2Pose",
        "url": "https://github.com/kirumang/Pix2Pose"
      }
    ],
    "date": "2019-08-20",
    "date2": 20190820,
    "model": "Pix2Pose + ICP",
    "paper": {
      "title": "Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation",
      "url": "https://cknow.io/lib/fb9abd4243e59f9b"
    },
    "paper_data_uoa": "fb9abd4243e59f9b"
  }
]