Sequential Image Classification On Noise
Métriques
% Test Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | % Test Accuracy |
|---|---|
| flexconv-continuous-kernel-convolutions-with-1 | 69.87% |
| antisymmetricrnn-a-dynamical-system-view-on | 11.6 |
| antisymmetricrnn-a-dynamical-system-view-on | 54.7 |
| unicornn-a-recurrent-model-for-learning-very | 62.4 |
| coupled-oscillatory-recurrent-neural-network | 59.0 |
| lipschitz-recurrent-neural-networks | 59.0 |
| long-expressive-memory-for-sequence-modeling-1 | 60.5 |