Image Classification on MNIST Clean
99.07AccuracyMM
Evaluation results
| Method | Links | |
|---|---|---|
| MMBackbone=LeNet2025.01 | 99.07 | |
| HEM-Backbone=ConvNet2025.01 | 99.07 | |
| HEM-Backbone=LeNet2025.01 | 99.03 | |
| CEBackbone=LeNet2025.01 | 99.02 | |
| LNBackbone=ConvNet2025.01 | 99.02 | |
| MMBackbone=ConvNet2025.01 | 98.94 | |
| LNBackbone=LeNet2025.01 | 98.88 | |
| CEBackbone=ConvNet2025.01 | 98.84 | |
| DICEBackbone=LeNet2025.01 | 98.83 | |
| DICEBackbone=ConvNet2025.01 | 98.29 | |
| CEBackbone=MLP2025.01 | 97.97 | |
| LNBackbone=MLP2025.01 | 97.95 | |
| HEM-Backbone=MLP2025.01 | 97.93 | |
| MMBackbone=MLP2025.01 | 97.8 | |
| DICEBackbone=MLP2025.01 | 97.16 |