Video Prediction On Moving Mnist
Métriques
MAE
MSE
SSIM
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | MAE | MSE | SSIM |
|---|---|---|---|
| convolutional-lstm-network-a-machine-learning | 182.9 | 103.3 | 0.707 |
| video-prediction-at-multiple-scales-with | - | 34.44 | 0.975 |
| mau-a-motion-aware-unit-for-video-prediction | - | 27.6 | 0.937 |
| implicit-stacked-autoregressive-model-for-1 | 49.2 | 15.3 | 0.966 |
| predformer-transformers-are-effective-spatial | 41.96 | 11.62 | 0.9742 |
| efficient-and-information-preserving-future | - | 22.3 | 0.949 |
| efficient-multi-order-gated-aggregation | 53.57 | 16.21 | 0.9646 |
| efficient-multi-order-gated-aggregation | 59.84 | 19.11 | - |
| efficient-multi-order-gated-aggregation | 67.37 | 22.3 | - |
| efficient-and-information-preserving-future | - | 38.5 | 0.928 |
| efficient-multi-order-gated-aggregation | 57.52 | 18.01 | - |
| eidetic-3d-lstm-a-model-for-video-prediction | 86.4 | 41.3 | 0.910 |
| predrnn-a-recurrent-neural-network-for | - | 48.4 | 0.891 |
| memory-in-memory-a-predictive-neural-network | 116.5 | 52.0 | 0.874 |
| temporal-attention-unit-towards-efficient | 60.3 | 19.8 | 0.957 |
| swinlstm-improving-spatiotemporal-prediction-1 | - | 17.7 | 0.962 |
| efficient-multi-order-gated-aggregation | 59.86 | 18.85 | - |
| self-attention-convlstm-for-spatiotemporal | 94.7 | 43.9 | 0.913 |
| efficient-multi-order-gated-aggregation | 61.65 | 19.74 | 0.9539 |
| efficient-multi-order-gated-aggregation | 51.84 | 15.67 | 0.9661 |
| efficient-multi-order-gated-aggregation | 55.76 | 17.58 | 0.9617 |
| predrnn-towards-a-resolution-of-the-deep-in | 106.8 | 46.5 | 0.898 |
| video-prediction-recalling-long-term-motion | - | 41.5 | 0.924 |
| memory-in-memory-a-predictive-neural-network | 101.1 | 44.2 | 0.910 |
| simvp-simpler-yet-better-video-prediction-1 | - | 23.8 | 0.948 |
| disentangling-physical-dynamics-from-unknown | 70.3 | 24.4 | 0.947 |
| predrnn-recurrent-neural-networks-for-1 | 126.1 | 56.8 | 0.867 |
| simvp-towards-simple-yet-powerful | 49.8 | 15.05 | 0.967 |
| efficient-multi-order-gated-aggregation | 55.7 | 17.4 | 0.9624 |
| efficient-multi-order-gated-aggregation | 64.31 | 20.96 | - |