[
  {
    "Average End-Point Error": 2.52,
    "code_links": [
      {
        "title": "microsoft/MaskFlownet",
        "url": "https://github.com/microsoft/MaskFlownet"
      },
      {
        "title": "AMatusV/MaskFlownet-ROS",
        "url": "https://github.com/AMatusV/MaskFlownet-ROS"
      }
    ],
    "date": "2020-03-24",
    "date2": 20200324,
    "model": "MaskFlownet",
    "paper": {
      "title": "MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask",
      "url": "https://cknow.io/lib/2e8e90b94a2a855a"
    },
    "paper_data_uoa": "2e8e90b94a2a855a"
  },
  {
    "Average End-Point Error": 2.77,
    "code_links": [
      {
        "title": "microsoft/MaskFlownet",
        "url": "https://github.com/microsoft/MaskFlownet"
      },
      {
        "title": "AMatusV/MaskFlownet-ROS",
        "url": "https://github.com/AMatusV/MaskFlownet-ROS"
      }
    ],
    "date": "2020-03-24",
    "date2": 20200324,
    "model": "MaskFlownet-S",
    "paper": {
      "title": "MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask",
      "url": "https://cknow.io/lib/2e8e90b94a2a855a"
    },
    "paper_data_uoa": "2e8e90b94a2a855a"
  },
  {
    "Average End-Point Error": 3.592,
    "code_links": [
      {
        "title": "avirambh/ScopeFlow",
        "url": "https://github.com/avirambh/ScopeFlow"
      }
    ],
    "date": "2020-02-25",
    "date2": 20200225,
    "model": "ScopeFlow",
    "paper": {
      "title": "ScopeFlow: Dynamic Scene Scoping for Optical Flow",
      "url": "https://cknow.io/lib/aed817fd6d3c4e71"
    },
    "paper_data_uoa": "aed817fd6d3c4e71"
  },
  {
    "Average End-Point Error": 3.96,
    "code_links": [
      {
        "title": "NVIDIA/flownet2-pytorch",
        "url": "https://github.com/NVIDIA/flownet2-pytorch"
      },
      {
        "title": "philferriere/tfoptflow",
        "url": "https://github.com/philferriere/tfoptflow"
      },
      {
        "title": "ElliotHYLee/VisualOdometry3D",
        "url": "https://github.com/ElliotHYLee/VisualOdometry3D"
      },
      {
        "title": "mcgridles/LENS",
        "url": "https://github.com/mcgridles/LENS"
      },
      {
        "title": "rickyHong/tfoptflow-repl",
        "url": "https://github.com/rickyHong/tfoptflow-repl"
      }
    ],
    "date": "2016-12-06",
    "date2": 20161206,
    "model": "FlowNet2",
    "paper": {
      "title": "FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks",
      "url": "https://cknow.io/lib/4791b50703825bb3"
    },
    "paper_data_uoa": "4791b50703825bb3"
  },
  {
    "Average End-Point Error": 4.54,
    "code_links": [
      {
        "title": "twhui/LiteFlowNet",
        "url": "https://github.com/twhui/LiteFlowNet"
      },
      {
        "title": "sniklaus/pytorch-liteflownet",
        "url": "https://github.com/sniklaus/pytorch-liteflownet"
      },
      {
        "title": "keeper121/liteflownet-tf2",
        "url": "https://github.com/keeper121/liteflownet-tf2"
      }
    ],
    "date": "2018-05-18",
    "date2": 20180518,
    "model": "LiteFlowNet",
    "paper": {
      "title": "LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation",
      "url": "https://cknow.io/lib/64f97a42abfcecfe"
    },
    "paper_data_uoa": "64f97a42abfcecfe"
  },
  {
    "Average End-Point Error": 6.64,
    "code_links": [
      {
        "title": "philferriere/tfoptflow",
        "url": "https://github.com/philferriere/tfoptflow"
      },
      {
        "title": "guanfuchen/video_obj",
        "url": "https://github.com/guanfuchen/video_obj"
      },
      {
        "title": "sniklaus/pytorch-spynet",
        "url": "https://github.com/sniklaus/pytorch-spynet"
      },
      {
        "title": "anuragranj/spynet",
        "url": "https://github.com/anuragranj/spynet"
      },
      {
        "title": "Yijunmaverick/FlowGrounded-VideoPrediction",
        "url": "https://github.com/Yijunmaverick/FlowGrounded-VideoPrediction"
      },
      {
        "title": "GibranBenitez/IPN-hand",
        "url": "https://github.com/GibranBenitez/IPN-hand"
      },
      {
        "title": "Guillem96/spynet-pytorch",
        "url": "https://github.com/Guillem96/spynet-pytorch"
      },
      {
        "title": "rickyHong/tfoptflow-repl",
        "url": "https://github.com/rickyHong/tfoptflow-repl"
      }
    ],
    "date": "2016-11-03",
    "date2": 20161103,
    "model": "Spynet",
    "paper": {
      "title": "Optical Flow Estimation using a Spatial Pyramid Network",
      "url": "https://cknow.io/lib/f632a7c49b1bf3ea"
    },
    "paper_data_uoa": "f632a7c49b1bf3ea"
  }
]