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Models/MCnet + Residual

MCnet + Residual

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· 2017-06-25
0.806
best: 0.951 (MSPred)
SOTA
Decomposing Motion and Content for Natural Video Sequence Prediction arXiv:1706.08033
VideoonKTH
Cond· 2017-06-25
10
Decomposing Motion and Content for Natural Video Sequence Prediction arXiv:1706.08033
VideoonKTH
PSNR· 2017-06-25
26.29
best: 29.85 (WAM)
Decomposing Motion and Content for Natural Video Sequence Prediction arXiv:1706.08033
VideoonKTH
Pred· 2017-06-25
20
best: 40 (Grid-keypoints)
Decomposing Motion and Content for Natural Video Sequence Prediction arXiv:1706.08033

Time Series4 results

Video PredictiononKTH
SSIM· 2017-06-25
0.806
best: 0.951 (MSPred)
SOTA
Decomposing Motion and Content for Natural Video Sequence Prediction arXiv:1706.08033
Video PredictiononKTH
Cond· 2017-06-25
10
Decomposing Motion and Content for Natural Video Sequence Prediction arXiv:1706.08033
Video PredictiononKTH
PSNR· 2017-06-25
26.29
best: 29.85 (WAM)
Decomposing Motion and Content for Natural Video Sequence Prediction arXiv:1706.08033
Video PredictiononKTH
Pred· 2017-06-25
20
best: 40 (Grid-keypoints)
Decomposing Motion and Content for Natural Video Sequence Prediction arXiv:1706.08033