[
  {
    "MAE": 1782.8,
    "MSE": 429.9,
    "SSIM": 0.79,
    "code_links": [
      {
        "title": "Yunbo426/MIM",
        "url": "https://github.com/Yunbo426/MIM"
      }
    ],
    "date": "2018-11-19",
    "date2": 20181119,
    "model": "MIM",
    "paper": {
      "title": "Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics",
      "url": "https://cknow.io/lib/54a8e8b322cc07f4"
    },
    "paper_data_uoa": "54a8e8b322cc07f4"
  },
  {
    "MAE": 1895.2,
    "MSE": 484.1,
    "SSIM": 0.781,
    "code_links": [],
    "date": "2017-12-01",
    "date2": 20171201,
    "model": "PredRNN",
    "paper": {
      "title": "PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs",
      "url": "https://cknow.io/lib/1bb42cfae894f68b"
    },
    "paper_data_uoa": "1bb42cfae894f68b"
  },
  {
    "MAE": 1901.1,
    "MSE": 497.7,
    "SSIM": 0.771,
    "code_links": [
      {
        "title": "moliusimon/frnn",
        "url": "https://github.com/moliusimon/frnn"
      }
    ],
    "date": "2017-12-01",
    "date2": 20171201,
    "model": "FRNN",
    "paper": {
      "title": "Folded Recurrent Neural Networks for Future Video Prediction",
      "url": "https://cknow.io/lib/1ca24f145338eaad"
    },
    "paper_data_uoa": "1ca24f145338eaad"
  }
]