[
  {
    "Top-1 Accuracy": 41.93,
    "code_links": [
      {
        "title": "jingyunx/Deformation-Flow-Based-Two-stream-Network",
        "url": "https://github.com/jingyunx/Deformation-Flow-Based-Two-stream-Network"
      }
    ],
    "date": "2020-03-12",
    "date2": 20200312,
    "model": "DFTN",
    "paper": {
      "title": "Deformation Flow Based Two-Stream Network for Lip Reading",
      "url": "https://cknow.io/lib/1109bf17ef0167c8"
    },
    "paper_data_uoa": "1109bf17ef0167c8"
  },
  {
    "Top-1 Accuracy": 41.4,
    "code_links": [
      {
        "title": "mpc001/Lipreading_using_Temporal_Convolutional_Networks",
        "url": "https://github.com/mpc001/Lipreading_using_Temporal_Convolutional_Networks"
      }
    ],
    "date": "2020-01-23",
    "date2": 20200123,
    "model": "3D Conv + ResNet-18 + MS-TCN",
    "paper": {
      "title": "Lipreading using Temporal Convolutional Networks",
      "url": "https://cknow.io/lib/3da754d4062a6343"
    },
    "paper_data_uoa": "3da754d4062a6343"
  },
  {
    "Top-1 Accuracy": 38.79,
    "code_links": [
      {
        "title": "xing96/MIM-lipreading",
        "url": "https://github.com/xing96/MIM-lipreading"
      }
    ],
    "date": "2020-03-13",
    "date2": 20200313,
    "model": "GLMIM",
    "paper": {
      "title": "Mutual Information Maximization for Effective Lip Reading",
      "url": "https://cknow.io/lib/65cb3921a3e636ed"
    },
    "paper_data_uoa": "65cb3921a3e636ed"
  }
]