Video Prediction on Shanghai 2020
4.0308MSEGMG
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| GMGParams=31.44M2025.03 | 4.0308 | 35.771 | 0.93 | 0.4741 | 0.4487 | 0.4002 | |
| PredRNN-V2Params=23.9M2025.03 | 4.205 | 35.015 | 0.927 | 0.4543 | 0.4272 | 0.3815 | |
| PredRNNParams=23.8M2025.03 | 4.3347 | 34.297 | 0.9288 | 0.4707 | 0.4451 | 0.3992 | |
| MotionRNNParams=26.9M2025.03 | 4.5867 | 37.871 | 0.9221 | 0.4457 | 0.4183 | 0.3708 | |
| PredRNN++Params=38.6M2025.03 | 4.7445 | 39.416 | 0.919 | 0.4419 | 0.41 | 0.3605 | |
| ConvLSTMParams=15.1M2025.03 | 5.0219 | 39.236 | 0.9162 | 0.4321 | 0.4046 | 0.3584 | |
| WaSTParams=28.18M2025.03 | 6.1937 | 42.387 | 0.9063 | 0.3908 | 0.3545 | 0.3042 | |
| MIMParams=38.04M2025.03 | 6.3924 | 44.986 | 0.8997 | 0.391 | 0.3595 | 0.3131 | |
| Swin-LSTMParams=20.19M2025.03 | 6.7183 | 46.025 | 0.8957 | 0.3714 | 0.3371 | 0.2902 | |
| MAUParams=4.48M2025.03 | 7.3441 | 50.766 | 0.8853 | 0.3485 | 0.3098 | 0.2599 | |
| PyDNetParams=3.1M2025.03 | 7.6126 | 50.155 | 0.8846 | 0.3508 | 0.3124 | 0.2663 | |
| SimVP-gSTAParams=4.82M2025.03 | 8.0889 | 45.846 | 0.8908 | 0.3649 | 0.3406 | 0.2991 | |
| TAUParams=38.4M2025.03 | 8.2874 | 47.315 | 0.8886 | 0.363 | 0.3421 | 0.3 | |
| SimVP-ViTParams=39.6M2025.03 | 9.9074 | 52.9 | 0.8718 | 0.3272 | 0.3053 | 0.2667 |