Medical Image Classification on PneumoniaMNIST
96.1AccuracyMedVIT-S
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| MedVIT-S2026.05 | 96.1 | 99.5 | — | — | — | — | |
| MedVIT-T2026.05 | 94.9 | 99.3 | — | — | — | — | |
| Google AutoML2026.05 | 94.6 | 99.1 | — | — | — | — | |
| MedVIT-L2026.05 | 92.1 | 99.1 | — | — | — | — | |
| MO-MAE2026.05 | 90.9 | 98.8 | — | — | — | — | |
| MLP-Mixer (Back-Propagation)Arch=D12-W256, Training Protocol=BP2025.01 | 90.06 | 94.99 | 0.796 | — | — | — | |
| MLP-Mixer (Mono-Forward)Arch=D5-W256, Training Protocol=MF2025.01 | 89.42 | 93.93 | 0.145 | 1.12 | -0.95 | 0.41 | |
| MLP-Mixer (Mono-Forward)Arch=D8-W512, Training Protocol=MF2025.01 | 88.94 | 92.44 | 0.571 | 0.64 | -2.55 | 0.32 | |
| MLP-Mixer (Mono-Forward)Arch=D12-W256, Training Protocol=MF2025.01 | 88.94 | 86.84 | 0.201 | -1.12 | -8.15 | 0.25 | |
| MLP-Mixer (Mono-Forward)Arch=D12-W512, Training Protocol=MF2025.01 | 88.94 | 87.54 | 0.697 | 1.6 | -7.23 | 0.26 | |
| MLP-Mixer (Mono-Forward)Arch=D5-W512, Training Protocol=MF2025.01 | 88.78 | 92.95 | 0.476 | 1.6 | -2.21 | 0.42 | |
| MLP-Mixer (Back-Propagation)Arch=D8-W256, Training Protocol=BP2025.01 | 88.46 | 95.79 | 0.545 | — | — | — | |
| ResNet-502026.05 | 88.4 | 96.2 | — | — | — | — | |
| MLP-Mixer (Back-Propagation)Arch=D5-W256, Training Protocol=BP2025.01 | 88.3 | 94.88 | 0.357 | — | — | — | |
| MLP-Mixer (Back-Propagation)Arch=D8-W512, Training Protocol=BP2025.01 | 88.3 | 94.99 | 1.797 | — | — | — | |
| MLP-Mixer (Mono-Forward)Arch=D8-W256, Training Protocol=MF2025.01 | 88.14 | 91.76 | 0.169 | -0.32 | -4.03 | 0.31 | |
| AutoKeras2026.05 | 87.8 | 94.7 | — | — | — | — | |
| MLP-Mixer (Back-Propagation)Arch=D12-W512, Training Protocol=BP2025.01 | 87.34 | 94.78 | 2.665 | — | — | — | |
| MLP-Mixer (Back-Propagation)Arch=D5-W512, Training Protocol=BP2025.01 | 87.18 | 95.16 | 1.145 | — | — | — | |
| ResNet-182026.05 | 86.4 | 95.6 | — | — | — | — | |
| Auto-sklearn2026.05 | 85.5 | 94.2 | — | — | — | — |