[
  {
    "Mean mAP": 88.74,
    "code_links": [
      {
        "title": "mks0601/V2V-PoseNet_RELEASE",
        "url": "https://github.com/mks0601/V2V-PoseNet_RELEASE"
      },
      {
        "title": "dragonbook/V2V-PoseNet-pytorch",
        "url": "https://github.com/dragonbook/V2V-PoseNet-pytorch"
      },
      {
        "title": "pengfeiZhao1993/V2V-PoseNet",
        "url": "https://github.com/pengfeiZhao1993/V2V-PoseNet"
      },
      {
        "title": "rajbharat/PoseNet-V2V-Pytorch1.0-Win10",
        "url": "https://github.com/rajbharat/PoseNet-V2V-Pytorch1.0-Win10"
      }
    ],
    "date": "2017-11-20",
    "date2": 20171120,
    "model": "V2V-PoseNet",
    "paper": {
      "title": "V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map",
      "url": "https://cknow.io/lib/0086d34f16ab67e8"
    },
    "paper_data_uoa": "0086d34f16ab67e8"
  },
  {
    "Mean mAP": 88,
    "code_links": [
      {
        "title": "zhangboshen/A2J",
        "url": "https://github.com/zhangboshen/A2J"
      }
    ],
    "date": "2019-08-27",
    "date2": 20190827,
    "model": "A2J",
    "paper": {
      "title": "A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image",
      "url": "https://cknow.io/lib/5caf8d2616c45043"
    },
    "paper_data_uoa": "5caf8d2616c45043"
  },
  {
    "Mean mAP": 77.4,
    "code_links": [
      {
        "title": "mks0601/V2V-PoseNet_RELEASE",
        "url": "https://github.com/mks0601/V2V-PoseNet_RELEASE"
      },
      {
        "title": "pengfeiZhao1993/V2V-PoseNet",
        "url": "https://github.com/pengfeiZhao1993/V2V-PoseNet"
      }
    ],
    "date": "2016-03-23",
    "date2": 20160323,
    "model": "Multi-task learning + viewpoint invariance",
    "paper": {
      "title": "Towards Viewpoint Invariant 3D Human Pose Estimation",
      "url": "https://cknow.io/lib/0434b3e9e48de027"
    },
    "paper_data_uoa": "0434b3e9e48de027"
  }
]