Image Classification on Brain Tumor MRI 1-shot 4-way (test)
99.32AccuracyAMSF-Net
Evaluation results
| Method | Links | |
|---|---|---|
| AMSF-NetTrain shot=5-shot, Backbone=ViT-Base2026.02 | 99.32 | |
| AMSF-NetTrain shot=1-shot, Backbone=ViT-Base2026.02 | 99.19 | |
| Bi-FRNTrain shot=5-shot, Backbone=ResNet-122026.02 | 97.99 | |
| Bi-FRNTrain shot=1-shot, Backbone=ResNet-122026.02 | 97.57 | |
| Proto-NetTrain shot=5-shot, Backbone=ResNet-122026.02 | 97.57 | |
| C2-NetTrain shot=5-shot, Backbone=Conv-42026.02 | 97.56 | |
| Proto-NetTrain shot=1-shot, Backbone=ResNet-122026.02 | 97.52 | |
| C2-NetTrain shot=5-shot, Backbone=ResNet-122026.02 | 97.42 | |
| FRNTrain shot=1-shot, Backbone=ResNet-122026.02 | 97.32 | |
| C2-NetTrain shot=1-shot, Backbone=Conv-42026.02 | 97.26 | |
| FRNTrain shot=5-shot, Backbone=ResNet-122026.02 | 97.08 | |
| Bi-FRNTrain shot=1-shot, Backbone=Conv-42026.02 | 97.05 | |
| Bi-FRNTrain shot=5-shot, Backbone=Conv-42026.02 | 96.68 | |
| Proto-NetTrain shot=1-shot, Backbone=ViT-Base2026.02 | 95.98 | |
| Proto-NetTrain shot=5-shot, Backbone=ViT-Base2026.02 | 95.52 | |
| FRNTrain shot=5-shot, Backbone=Conv-42026.02 | 92.47 | |
| Proto-NetTrain shot=5-shot, Backbone=Conv-42026.02 | 89.61 | |
| Proto-NetTrain shot=1-shot, Backbone=Conv-42026.02 | 88.34 | |
| FRNTrain shot=1-shot, Backbone=Conv-42026.02 | 86.05 | |
| C2-NetTrain shot=1-shot, Backbone=ResNet-122026.02 | 78.18 |