[
  {
    "MAP": 56.6,
    "code_links": [],
    "date": "2019-05-30",
    "date2": 20190530,
    "model": "AssembleNet",
    "paper": {
      "title": "AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures",
      "url": "https://cknow.io/lib/744574884b3457d2"
    },
    "paper_data_uoa": "744574884b3457d2"
  },
  {
    "MAP": 43.1,
    "code_links": [],
    "date": "2019-06-13",
    "date2": 20190613,
    "model": "HAF+BoW/FV/OFF halluc. +MSK\u00d78/PN",
    "paper": {
      "title": "Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition with CNNs",
      "url": "https://cknow.io/lib/45901c51dd6467aa"
    },
    "paper_data_uoa": "45901c51dd6467aa"
  },
  {
    "MAP": 42.5,
    "code_links": [
      {
        "title": "facebookresearch/video-long-term-feature-banks",
        "url": "https://github.com/facebookresearch/video-long-term-feature-banks"
      }
    ],
    "date": "2018-12-12",
    "date2": 20181212,
    "model": "LFB NL",
    "paper": {
      "title": "Long-Term Feature Banks for Detailed Video Understanding",
      "url": "https://cknow.io/lib/9a803a3880502cbc"
    },
    "paper_data_uoa": "9a803a3880502cbc"
  },
  {
    "MAP": 41,
    "code_links": [],
    "date": "2019-06-01",
    "date2": 20190601,
    "model": "PA3D + (GCN + I3D + NL I3D)",
    "paper": {
      "title": "PA3D: Pose-Action 3D Machine for Video Recognition",
      "url": "https://cknow.io/lib/467c9c193c5b6d70"
    },
    "paper_data_uoa": "467c9c193c5b6d70"
  },
  {
    "MAP": 40.8,
    "code_links": [],
    "date": "2018-06-01",
    "date2": 20180601,
    "model": "PoTion + (GCN + I3D + NL I3D)",
    "paper": {
      "title": "PoTion: Pose MoTion Representation for Action Recognition",
      "url": "https://cknow.io/lib/8a812422fc8eff06"
    },
    "paper_data_uoa": "8a812422fc8eff06"
  },
  {
    "MAP": 40.2,
    "code_links": [],
    "date": "2019-08-27",
    "date2": 20190827,
    "model": "TRG ResNet-101 32 frames",
    "paper": {
      "title": "Temporal Reasoning Graph for Activity Recognition",
      "url": "https://cknow.io/lib/48eac55d1d0207b6"
    },
    "paper_data_uoa": "48eac55d1d0207b6"
  },
  {
    "MAP": 39.7,
    "code_links": [],
    "date": "2018-06-05",
    "date2": 20180605,
    "model": "NL I3D + GCN + Resnet-101",
    "paper": {
      "title": "Videos as Space-Time Region Graphs",
      "url": "https://cknow.io/lib/90a2cef4a1454c99"
    },
    "paper_data_uoa": "90a2cef4a1454c99"
  },
  {
    "MAP": 25.2,
    "code_links": [],
    "date": "2017-12-02",
    "date2": 20171202,
    "model": "CoViAR+optical flow",
    "paper": {
      "title": "Compressed Video Action Recognition",
      "url": "https://cknow.io/lib/740acabc3d34b078"
    },
    "paper_data_uoa": "740acabc3d34b078"
  },
  {
    "MAP": 24.1,
    "code_links": [
      {
        "title": "metalbubble/TRN-pytorch",
        "url": "https://github.com/metalbubble/TRN-pytorch"
      },
      {
        "title": "okankop/MFF-pytorch",
        "url": "https://github.com/okankop/MFF-pytorch"
      }
    ],
    "date": "2017-11-22",
    "date2": 20171122,
    "model": "MultiScale TRN",
    "paper": {
      "title": "Temporal Relational Reasoning in Videos",
      "url": "https://cknow.io/lib/ab89498599fa31b3"
    },
    "paper_data_uoa": "ab89498599fa31b3"
  }
]