Image Classification on Oracle MNIST
96.68AccuracyR-ExplaiNet26-64
Evaluation results
| Method | Links | |
|---|---|---|
| R-ExplaiNet26-64Parameter Size=0.89MP2024.10 | 96.68 | |
| ResNet26-64Parameter Size=0.89MP2024.10 | 96.56 | |
| MSLA-562026.06 | 96.3 | |
| MSLA-202026.06 | 96.05 | |
| OursNumber of Parameters=1,028,2342022.07 | 95.13 | |
| CNNParameter=2 ×Conv-Pool-ReLu, 2×FC, Dropout2026.06 | 93.8 | |
| Inception-V3Number of Parameters=23,851,7842022.07 | 92.6 | |
| SVCParameter=C=10, kernel=rbf2026.06 | 75.5 | |
| MLPClassifierParameter=activation=relu, hidden_layer_sizes=[100]2026.06 | 74.7 | |
| GradientBoostingClassifierParameter=n_estimators=100, loss=deviance, max_depth=102026.06 | 72.5 | |
| RandomForestClassifierParameter=n_estimators=100, criterion=gini, max_depth=1002026.06 | 65.5 | |
| KNeighborsClassifierParameter=weights=distance, n_neighbors=9, p=22026.06 | 62.7 | |
| LogisticRegressionParameter=C=10, multi_class=ovr, penalty=l22026.06 | 59.8 | |
| LinearSVCParameter=loss=hinge, C=1, multi_class=crammer_singer, penalty=l22026.06 | 58.1 | |
| SGDClassifierParameter=loss=log, penalty=l12026.06 | 56.7 | |
| VGG-16Number of Parameters=138,357,5442022.07 | 52.6 |