Image Classification On Oracle Mnist
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy | Paper Title | Repository |
|---|---|---|---|
| ResNet-18 | 96.77 | Vision Eagle Attention: a new lens for advancing image classification | |
| R-ExplaiNet-26 | 96.93 | Learning local discrete features in explainable-by-design convolutional neural networks | |
| LR-Net | 95.13 | LR-Net: A Block-based Convolutional Neural Network for Low-Resolution Image Classification | |
| ResNet-18 + Vision Eagle Attention | 97.20 | Vision Eagle Attention: a new lens for advancing image classification |
0 of 4 row(s) selected.