[
  {
    "Accuracy": "78.0 (average of 3 split train/test)",
    "Average accuracy of 3 splits": 77.2,
    "No. parameters": "1.82 M",
    "code_links": [
      {
        "title": "fandulu/DD-Net",
        "url": "https://github.com/fandulu/DD-Net"
      }
    ],
    "date": "2019-07-23",
    "date2": 20190723,
    "model": "DD-Net",
    "paper": {
      "title": "Make Skeleton-based Action Recognition Model Smaller, Faster and Better",
      "url": "https://cknow.io/lib/f3391cd265194e89"
    },
    "paper_data_uoa": "f3391cd265194e89"
  },
  {
    "Average accuracy of 3 splits": 67.9,
    "No. parameters": "-",
    "code_links": [],
    "date": "2018-06-01",
    "date2": 20180601,
    "model": "PoTion",
    "paper": {
      "title": "PoTion: Pose MoTion Representation for Action Recognition",
      "url": "https://cknow.io/lib/8a812422fc8eff06"
    },
    "paper_data_uoa": "8a812422fc8eff06"
  },
  {
    "Average accuracy of 3 splits": 65.5,
    "code_links": [
      {
        "title": "noboevbo/ehpi_action_recognition",
        "url": "https://github.com/noboevbo/ehpi_action_recognition"
      }
    ],
    "date": "2019-04-19",
    "date2": 20190419,
    "model": "EHPI",
    "paper": {
      "title": "Simple yet efficient real-time pose-based action recognition",
      "url": "https://cknow.io/lib/b09329a44e548118"
    },
    "paper_data_uoa": "b09329a44e548118"
  },
  {
    "Average accuracy of 3 splits": 56.8,
    "code_links": [
      {
        "title": "mzolfaghari/chained-multistream-networks",
        "url": "https://github.com/mzolfaghari/chained-multistream-networks"
      }
    ],
    "date": "2017-04-03",
    "date2": 20170403,
    "model": "Chained",
    "paper": {
      "title": "Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection",
      "url": "https://cknow.io/lib/80a449a93824e97b"
    },
    "paper_data_uoa": "80a449a93824e97b"
  }
]