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Models/MSNET

MSNET

Reported on 8 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Computer Vision4 results

  • VideoonKTH
    SSIM· 2018-04-13
    0.876
    best: 0.951 (MSPred)
    SOTA
    Mutual Suppression Network for Video Prediction using Disentangled FeaturesarXiv:1804.04810
  • VideoonKTH
    Cond· 2018-04-13
    10
    Mutual Suppression Network for Video Prediction using Disentangled FeaturesarXiv:1804.04810
  • VideoonKTH
    PSNR· 2018-04-13
    27.08
    best: 29.85 (WAM)
    Mutual Suppression Network for Video Prediction using Disentangled FeaturesarXiv:1804.04810
  • VideoonKTH
    Pred· 2018-04-13
    20
    best: 40 (Grid-keypoints)
    Mutual Suppression Network for Video Prediction using Disentangled FeaturesarXiv:1804.04810

Time Series4 results

  • Video PredictiononKTH
    SSIM· 2018-04-13
    0.876
    best: 0.951 (MSPred)
    SOTA
    Mutual Suppression Network for Video Prediction using Disentangled FeaturesarXiv:1804.04810
  • Video PredictiononKTH
    Cond· 2018-04-13
    10
    Mutual Suppression Network for Video Prediction using Disentangled FeaturesarXiv:1804.04810
  • Video PredictiononKTH
    PSNR· 2018-04-13
    27.08
    best: 29.85 (WAM)
    Mutual Suppression Network for Video Prediction using Disentangled FeaturesarXiv:1804.04810
  • Video PredictiononKTH
    Pred· 2018-04-13
    20
    best: 40 (Grid-keypoints)
    Mutual Suppression Network for Video Prediction using Disentangled FeaturesarXiv:1804.04810