Image Classification on Brain Tumor MRI 4-way 5-shot (test)
99.51AccuracyAMSF-Net
Evaluation Results
| Method | Links | |
|---|---|---|
| AMSF-NetTrain shot=5-shot, Backbone=ViT-Base2026.02 | 99.51 | |
| AMSF-NetTrain shot=1-shot, Backbone=ViT-Base2026.02 | 99.33 | |
| Bi-FRNTrain shot=5-shot, Backbone=ResNet-122026.02 | 98.33 | |
| Proto-NetTrain shot=1-shot, Backbone=ResNet-122026.02 | 98.14 | |
| C2-NetTrain shot=5-shot, Backbone=Conv-42026.02 | 98.13 | |
| C2-NetTrain shot=5-shot, Backbone=ResNet-122026.02 | 98.1 | |
| FRNTrain shot=1-shot, Backbone=ResNet-122026.02 | 98.09 | |
| Proto-NetTrain shot=5-shot, Backbone=ResNet-122026.02 | 98.01 | |
| Bi-FRNTrain shot=1-shot, Backbone=ResNet-122026.02 | 97.99 | |
| C2-NetTrain shot=1-shot, Backbone=Conv-42026.02 | 97.98 | |
| Bi-FRNTrain shot=1-shot, Backbone=Conv-42026.02 | 97.7 | |
| Bi-FRNTrain shot=5-shot, Backbone=Conv-42026.02 | 97.69 | |
| FRNTrain shot=5-shot, Backbone=ResNet-122026.02 | 97.6 | |
| Proto-NetTrain shot=5-shot, Backbone=ViT-Base2026.02 | 97.4 | |
| Proto-NetTrain shot=1-shot, Backbone=ViT-Base2026.02 | 96.57 | |
| FRNTrain shot=5-shot, Backbone=Conv-42026.02 | 96.46 | |
| Proto-NetTrain shot=5-shot, Backbone=Conv-42026.02 | 95.72 | |
| Proto-NetTrain shot=1-shot, Backbone=Conv-42026.02 | 92.73 | |
| FRNTrain shot=1-shot, Backbone=Conv-42026.02 | 90.75 | |
| C2-NetTrain shot=1-shot, Backbone=ResNet-122026.02 | 81.69 |