[
  {
    "ADDS AUC": 96.1,
    "code_links": [
      {
        "title": "ethnhe/PVN3D",
        "url": "https://github.com/ethnhe/PVN3D"
      }
    ],
    "date": "2019-11-11",
    "date2": 20191111,
    "model": "PVN3D",
    "paper": {
      "title": "PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation",
      "url": "https://cknow.io/lib/d9ae3115f345d59b"
    },
    "paper_data_uoa": "d9ae3115f345d59b"
  },
  {
    "ADDS AUC": 93.1,
    "code_links": [
      {
        "title": "j96w/DenseFusion",
        "url": "https://github.com/j96w/DenseFusion"
      },
      {
        "title": "a2824256/6D-Object-Pose-Prediction-Material",
        "url": "https://github.com/a2824256/6D-Object-Pose-Prediction-Material"
      },
      {
        "title": "phucvu460/densefusion",
        "url": "https://github.com/phucvu460/densefusion"
      },
      {
        "title": "caoquan95/6D-pose-project",
        "url": "https://github.com/caoquan95/6D-pose-project"
      }
    ],
    "date": "2019-01-15",
    "date2": 20190115,
    "model": "DenseFusion",
    "paper": {
      "title": "DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion",
      "url": "https://cknow.io/lib/2614dee854e67b0f"
    },
    "paper_data_uoa": "2614dee854e67b0f"
  },
  {
    "ADDS AUC": 93,
    "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+ICP",
    "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"
  }
]