Image Classification on COVID 4-way 5-shot (test)
95.58AccuracyAMSF-Net
Evaluation results
| Method | Links | |
|---|---|---|
| AMSF-NetTrain shot=5-shot, Backbone=ViT-Base2026.02 | 95.58 | |
| Bi-FRNTrain shot=5-shot, Backbone=ResNet-122026.02 | 94.91 | |
| Proto-NetTrain shot=5-shot, Backbone=ResNet-122026.02 | 94.47 | |
| AMSF-NetTrain shot=1-shot, Backbone=ViT-Base2026.02 | 94.42 | |
| Proto-NetTrain shot=1-shot, Backbone=ViT-Base2026.02 | 93.97 | |
| Proto-NetTrain shot=5-shot, Backbone=ViT-Base2026.02 | 93.85 | |
| C2-NetTrain shot=5-shot, Backbone=ResNet-122026.02 | 93.81 | |
| Bi-FRNTrain shot=5-shot, Backbone=Conv-42026.02 | 93.54 | |
| C2-NetTrain shot=1-shot, Backbone=ResNet-122026.02 | 93.4 | |
| FRNTrain shot=5-shot, Backbone=ResNet-122026.02 | 93.36 | |
| C2-NetTrain shot=5-shot, Backbone=Conv-42026.02 | 93.23 | |
| Bi-FRNTrain shot=1-shot, Backbone=ResNet-122026.02 | 92.87 | |
| FRNTrain shot=1-shot, Backbone=ResNet-122026.02 | 92.86 | |
| Proto-NetTrain shot=1-shot, Backbone=ResNet-122026.02 | 92.81 | |
| Bi-FRNTrain shot=1-shot, Backbone=Conv-42026.02 | 92.42 | |
| C2-NetTrain shot=1-shot, Backbone=Conv-42026.02 | 92.23 | |
| FRNTrain shot=5-shot, Backbone=Conv-42026.02 | 90.02 | |
| Proto-NetTrain shot=5-shot, Backbone=Conv-42026.02 | 89.45 | |
| Proto-NetTrain shot=1-shot, Backbone=Conv-42026.02 | 85.86 | |
| FRNTrain shot=1-shot, Backbone=Conv-42026.02 | 82.47 |