Video Prediction on CIKM 2017
25.0215MSEGMG
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| GMGParams=31.44M2025.03 | 25.0215 | 149.493 | 0.7513 | 0.7885 | 0.6812 | 0.5682 | |
| MIMParams=38.04M2025.03 | 27.2072 | 154.269 | 0.7388 | 0.7828 | 0.6725 | 0.5587 | |
| MotionRNNParams=26.9M2025.03 | 27.2091 | 155.827 | 0.7406 | 0.7867 | 0.6762 | 0.551 | |
| SimVP-ViTParams=39.6M2025.03 | 27.8803 | 157.478 | 0.7358 | 0.7835 | 0.6669 | 0.5483 | |
| Swin-LSTMParams=20.19M2025.03 | 27.9612 | 158.899 | 0.7405 | 0.7826 | 0.6652 | 0.5532 | |
| PredRNN-V2Params=23.9M2025.03 | 28.0085 | 161.508 | 0.7374 | 0.7857 | 0.664 | 0.5362 | |
| PredRNN++Params=38.6M2025.03 | 28.0987 | 159.258 | 0.7362 | 0.7775 | 0.6684 | 0.5533 | |
| PredRNNParams=23.8M2025.03 | 28.8126 | 159.404 | 0.7303 | 0.7803 | 0.669 | 0.5471 | |
| ConvLSTMParams=15.1M2025.03 | 28.8162 | 161.242 | 0.7359 | 0.7757 | 0.659 | 0.5367 | |
| PyDNetParams=3.1M2025.03 | 28.9757 | 161.143 | 0.7393 | 0.7809 | 0.6654 | 0.5489 | |
| WaSTParams=28.18M2025.03 | 30.3074 | 165.804 | 0.7309 | 0.7773 | 0.6534 | 0.5174 | |
| TAUParams=38.4M2025.03 | 30.5827 | 161.948 | 0.7277 | 0.7779 | 0.6601 | 0.537 | |
| MAUParams=4.48M2025.03 | 30.9094 | 167.361 | 0.7234 | 0.7731 | 0.6584 | 0.5459 | |
| SimVP-gSTAParams=4.82M2025.03 | 31.3121 | 166.261 | 0.7195 | 0.7731 | 0.6594 | 0.5416 |