Image Classification on Kuzushiji-MNIST
98.66AccuracyR-ExplaiNet26-64
Evaluation Results
| Method | Links | |
|---|---|---|
| R-ExplaiNet26-64Parameter Size=0.89MP2024.10 | 98.66 | |
| ResNet26-64Parameter Size=0.89MP2024.10 | 98.53 | |
| IDGPBackbone=LeNet-52022.04 | 96.88 | |
| VALENBackbone=LeNet-52022.04 | 96.19 | |
| PLCRBackbone=LeNet-52022.04 | 95.29 | |
| PICOBackbone=LeNet-52022.04 | 94.78 | |
| CCBackbone=LeNet-52022.04 | 94.08 | |
| PRODENBackbone=LeNet-52022.04 | 93.79 | |
| RCBackbone=LeNet-52022.04 | 93.78 | |
| CAVLBackbone=LeNet-52022.04 | 93.69 | |
| LWSBackbone=LeNet-52022.04 | 92.27 | |
| ForwardEstimator Variant=Fwd2018.10 | 64.1 | |
| ForwardEstimator Variant=Free2018.10 | 63.9 | |
| Gradient AscentEstimator Variant=Free2018.10 | 63.8 | |
| PCEstimator Variant=PC2018.10 | 56.7 | |
| PCEstimator Variant=Free2018.10 | 56.1 |