Video Prediction on KTH (test)
72.3FVDSTMFANet
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| STMFANet2020.02 | 72.3 | — | — | — | — | — | |
| SAVP2020.02 | 78 | — | — | — | — | — | |
| SV2P2020.02 | 136.8 | — | — | — | — | — | |
| Grid keypoint#param=2.0M2021.07 | 144.2 | 83.7 | 27.11 | 0.092 | — | — | |
| SAVP-VAE#param=7.3M2021.07 | 145.7 | 80.6 | 26 | 0.116 | — | — | |
| SVG-LP#param=22.8M2021.07 | 157.9 | 80 | 23.91 | 0.129 | — | — | |
| SAVP#param=17.6M2021.07 | 183.7 | 69.9 | 23.79 | 0.126 | — | — | |
| SVG-FP2020.02 | 208.4 | — | — | — | — | — | |
| SV2P time-variant#param=8.3M2021.07 | 209.5 | 78.2 | 25.87 | 0.232 | — | — | |
| SRVPvariant=default2020.02 | 222 | — | — | — | — | — | |
| SRVP2021.08 | 222 | — | — | — | — | — | |
| SLAMP2021.08 | 228 | — | — | — | — | — | |
| SLAMP-Baseline2021.08 | 236 | — | — | — | — | — | |
| SRVPvariant=GRU2020.02 | 240 | — | — | — | — | — | |
| SRVPvariant=Delta t2020.02 | 244 | — | — | — | — | — | |
| SV2P time-invariant#param=8.3M2021.07 | 253.5 | 77.2 | 25.7 | 0.26 | — | — | |
| SRVPvariant=MLP2020.02 | 255 | — | — | — | — | — | |
| SAVP2020.02 | 374 | — | — | — | — | — | |
| SAVP2021.08 | 374 | — | — | — | — | — | |
| SVG2020.02 | 377 | — | — | — | — | — | |
| SVG2021.08 | 377 | — | — | — | — | — | |
| Struct-VRNN#param=2.3M2021.07 | 395 | 76.6 | 24.29 | 0.124 | — | — | |
| SV2P2020.02 | 636 | — | — | — | — | — | |
| SV2P2021.08 | 636 | — | — | — | — | — | |
| ARKMParameters (M)=3.82024.05 | — | 91.73 | — | — | 39.27 | 370.56 | |
| ARKM (w/o H1)Parameters (M)=3.82024.05 | — | 90.88 | — | — | 40.02 | 376.25 | |
| ConvLSTMParameters (M)=15.02024.05 | — | 89.77 | — | — | 47.65 | 445.5 | |
| CrevNetParameters (M)=5.02024.05 | — | 88.15 | — | — | 61.32 | 503.15 | |
| DMVFNParameters (M)=3.52024.05 | — | 89.76 | — | — | 59.61 | 413.2 | |
| E3D-LSTMParameters (M)=51.02024.05 | — | 81.53 | — | — | 136.4 | 892.7 | |
| MAUParameters (M)=4.52024.05 | — | 89.45 | — | — | 51.02 | 471.2 | |
| PhyDNet2022.04 | — | 72.97 | 23.68 | — | — | — | |
| PhyDNetParameters (M)=3.12024.05 | — | 83.22 | — | — | 91.12 | 765.6 | |
| PredRNN2022.04 | — | 70.47 | 23.27 | — | — | — | |
| PredRNNParameters (M)=38.62024.05 | — | 90.97 | — | — | 41.07 | 380.6 | |
| PredRNN + LwFcontinual_learning=LwF2022.04 | — | 70.93 | 24.25 | — | — | — | |
| SimVPParameters (M)=58.02024.05 | — | 90.65 | — | — | 41.11 | 397.1 | |
| SwinLSTMParameters (M)=20.12024.05 | — | 90.3 | — | — | 45.23 | 437.51 |