[
  {
    "Accuracy": 97.5,
    "code_links": [],
    "date": "2016-03-23",
    "date2": 20160323,
    "model": "DSSCA-SSLM (RGB+D)",
    "paper": {
      "title": "Deep Multimodal Feature Analysis for Action Recognition in RGB+D Videos",
      "url": "https://cknow.io/lib/4a7dc4d89ccbb0ca"
    },
    "paper_data_uoa": "4a7dc4d89ccbb0ca"
  },
  {
    "Accuracy": 95,
    "code_links": [],
    "date": "2014-03-03",
    "date2": 20140303,
    "model": "DL-GSGC (RGB+D)",
    "paper": {
      "title": "Group sparsity and geometry constrained dictionary learning for action recognition from depth maps.",
      "url": "https://cknow.io/lib/795d1fae964f4eb4"
    },
    "paper_data_uoa": "795d1fae964f4eb4"
  },
  {
    "Accuracy": 93,
    "code_links": [],
    "date": "2018-12-14",
    "date2": 20181214,
    "model": "Action Machine (RGB only)",
    "paper": {
      "title": "Action Machine: Rethinking Action Recognition in Trimmed Videos",
      "url": "https://cknow.io/lib/77296a7e05481399"
    },
    "paper_data_uoa": "77296a7e05481399"
  },
  {
    "Accuracy": 91.3,
    "code_links": [],
    "date": "2015-07-31",
    "date2": 20150731,
    "model": "MMMP (Pose+D)",
    "paper": {
      "title": "Multimodal Multipart Learning for Action Recognition in Depth Videos",
      "url": "https://cknow.io/lib/bc69e7684ca3cfbc"
    },
    "paper_data_uoa": "bc69e7684ca3cfbc"
  },
  {
    "Accuracy": 88.8,
    "code_links": [],
    "date": "2015-05-01",
    "date2": 20150501,
    "model": "Depth Fusion (Depth)",
    "paper": {
      "title": "Fusing multiple features for depth-based action recognition",
      "url": "https://cknow.io/lib/2ac464aec723fca9"
    },
    "paper_data_uoa": "2ac464aec723fca9"
  },
  {
    "Accuracy": 74.5,
    "code_links": [],
    "date": "2015-12-07",
    "date2": 20151207,
    "model": "Moving Poselets",
    "paper": {
      "title": "Moving poselets: A discriminative and interpretable skeletal motion representation for action recognition",
      "url": "https://cknow.io/lib/b4bb8779b64e6373"
    },
    "paper_data_uoa": "b4bb8779b64e6373"
  }
]