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Models/Causal LSTM

Causal LSTM

Reported on 6 benchmarks across 2 tasks · 1 paper · 6 SOTA

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

Computer Vision3 results

  • VideoonMoving MNIST
    MAE· 2018-04-17
    106.8
    best: 41.96 (PredFormer)
    SOTA
    PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive LearningarXiv:1804.06300
  • VideoonMoving MNIST
    MSE· 2018-04-17
    46.5
    best: 11.62 (PredFormer)
    SOTA
    PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive LearningarXiv:1804.06300
  • VideoonMoving MNIST
    SSIM· 2018-04-17
    0.898
    best: 0.975 (MSPred)
    SOTA
    PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive LearningarXiv:1804.06300

Time Series3 results

  • Video PredictiononMoving MNIST
    MAE· 2018-04-17
    106.8
    best: 41.96 (PredFormer)
    SOTA
    PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive LearningarXiv:1804.06300
  • Video PredictiononMoving MNIST
    MSE· 2018-04-17
    46.5
    best: 11.62 (PredFormer)
    SOTA
    PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive LearningarXiv:1804.06300
  • Video PredictiononMoving MNIST
    SSIM· 2018-04-17
    0.898
    best: 0.975 (MSPred)
    SOTA
    PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive LearningarXiv:1804.06300