Image Classification On Oracle Mnist
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | 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 | - |
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