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Models/PredRNN++

PredRNN++

Reported on 16 benchmarks across 2 tasks · 1 paper · 10 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision8 results

  • VideoonKTH
    PSNR· 2018-04-17
    28.47
    best: 29.85 (WAM)
    SOTA
    PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive LearningarXiv:1804.06300
  • VideoonSynpickVP
    LPIPS· 2018-04-17
    0.053
    best: 0.033 (MSPred)
    SOTA
    PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive LearningarXiv:1804.06300
  • VideoonSynpickVP
    MSE· 2018-04-17
    51.73
    SOTA
    PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive LearningarXiv:1804.06300
  • VideoonSynpickVP
    PSNR· 2018-04-17
    27.5
    best: 27.89 (MSPred)
    SOTA
    PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive LearningarXiv:1804.06300
  • VideoonSynpickVP
    SSIM· 2018-04-17
    0.894
    SOTA
    PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive LearningarXiv:1804.06300
  • VideoonKTH
    Cond· 2018-04-17
    10
    PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive LearningarXiv:1804.06300
  • VideoonKTH
    Pred· 2018-04-17
    20
    best: 40 (Grid-keypoints)
    PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive LearningarXiv:1804.06300
  • VideoonKTH
    SSIM· 2018-04-17
    0.865
    best: 0.951 (MSPred)
    PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive LearningarXiv:1804.06300

Time Series8 results

  • Video PredictiononKTH
    PSNR· 2018-04-17
    28.47
    best: 29.85 (WAM)
    SOTA
    PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive LearningarXiv:1804.06300
  • Video PredictiononSynpickVP
    LPIPS· 2018-04-17
    0.053
    best: 0.033 (MSPred)
    SOTA
    PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive LearningarXiv:1804.06300
  • Video PredictiononSynpickVP
    MSE· 2018-04-17
    51.73
    SOTA
    PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive LearningarXiv:1804.06300
  • Video PredictiononSynpickVP
    PSNR· 2018-04-17
    27.5
    best: 27.89 (MSPred)
    SOTA
    PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive LearningarXiv:1804.06300
  • Video PredictiononSynpickVP
    SSIM· 2018-04-17
    0.894
    SOTA
    PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive LearningarXiv:1804.06300
  • Video PredictiononKTH
    Cond· 2018-04-17
    10
    PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive LearningarXiv:1804.06300
  • Video PredictiononKTH
    Pred· 2018-04-17
    20
    best: 40 (Grid-keypoints)
    PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive LearningarXiv:1804.06300
  • Video PredictiononKTH
    SSIM· 2018-04-17
    0.865
    best: 0.951 (MSPred)
    PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive LearningarXiv:1804.06300