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    "Accuracy(ADD)": 79.2,
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        "title": "chensong1995/HybridPose",
        "url": "https://github.com/chensong1995/HybridPose"
      }
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    "model": "HybridPose",
    "paper": {
      "title": "HybridPose: 6D Object Pose Estimation under Hybrid Representations",
      "url": "https://cknow.io/lib/a9586fb90115821b"
    },
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    "model": "DPOD",
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      "title": "DPOD: 6D Pose Object Detector and Refiner",
      "url": "https://cknow.io/lib/415a13da987410ba"
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        "title": "zju3dv/pvnet",
        "url": "https://github.com/zju3dv/pvnet"
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      {
        "title": "a2824256/6D-Object-Pose-Prediction-Material",
        "url": "https://github.com/a2824256/6D-Object-Pose-Prediction-Material"
      }
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      "title": "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation",
      "url": "https://cknow.io/lib/59156dc4489b54d9"
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  {
    "Accuracy(ADD)": 32,
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      {
        "title": "kirumang/Pix2Pose",
        "url": "https://github.com/kirumang/Pix2Pose"
      }
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    "model": "Pix2Pose",
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      "title": "Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation",
      "url": "https://cknow.io/lib/fb9abd4243e59f9b"
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        "title": "cvlab-epfl/segmentation-driven-pose",
        "url": "https://github.com/cvlab-epfl/segmentation-driven-pose"
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      {
        "title": "sjtuytc/segmentation-driven-pose",
        "url": "https://github.com/sjtuytc/segmentation-driven-pose"
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      {
        "title": "AP-EPFL/DA-segmentation-driven-pose",
        "url": "https://github.com/AP-EPFL/DA-segmentation-driven-pose"
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      "title": "Segmentation-driven 6D Object Pose Estimation",
      "url": "https://cknow.io/lib/5b24ac8b747a6afd"
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        "title": "yuxng/PoseCNN",
        "url": "https://github.com/yuxng/PoseCNN"
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      {
        "title": "hz-ants/Posecnn",
        "url": "https://github.com/hz-ants/Posecnn"
      },
      {
        "title": "phucvu460/densefusion",
        "url": "https://github.com/phucvu460/densefusion"
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      {
        "title": "caoquan95/6D-pose-project",
        "url": "https://github.com/caoquan95/6D-pose-project"
      }
    ],
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    "model": "PoseCNN",
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      "title": "PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes",
      "url": "https://cknow.io/lib/6cecbebbaf24868a"
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        "title": "kartikgupta-at-anu/CullNet",
        "url": "https://github.com/kartikgupta-at-anu/CullNet"
      }
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    "model": "CullNet",
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      "title": "CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation",
      "url": "https://cknow.io/lib/416a90b9fbd6e0d3"
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