[
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    "F1 score": 71.6,
    "code_links": [
      {
        "title": "cardwing/Codes-for-Lane-Detection",
        "url": "https://github.com/cardwing/Codes-for-Lane-Detection"
      },
      {
        "title": "XingangPan/SCNN",
        "url": "https://github.com/XingangPan/SCNN"
      },
      {
        "title": "GuangyanZhang/SCNN-Deeplabv3-bisenet-icnet",
        "url": "https://github.com/GuangyanZhang/SCNN-Deeplabv3-bisenet-icnet"
      }
    ],
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      "title": "Spatial As Deep: Spatial CNN for Traffic Scene Understanding",
      "url": "https://cknow.io/lib/9b8429fa73466511"
    },
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  {
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        "title": "cardwing/Codes-for-Lane-Detection",
        "url": "https://github.com/cardwing/Codes-for-Lane-Detection"
      }
    ],
    "date": "2019-08-02",
    "date2": 20190802,
    "model": "ENet-SAD",
    "paper": {
      "title": "Learning Lightweight Lane Detection CNNs by Self Attention Distillation",
      "url": "https://cknow.io/lib/3172941688304a27"
    },
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  },
  {
    "F1 score": 68.8,
    "code_links": [],
    "date": "2019-05-02",
    "date2": 20190502,
    "model": "ENet-Label",
    "paper": {
      "title": "Agnostic Lane Detection",
      "url": "https://cknow.io/lib/e220a54356b472c7"
    },
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]