Image Classification on COVID 4-way 1-shot (test)
93.47AccuracyAMSF-Net
Evaluation results
| Method | Links | |
|---|---|---|
| AMSF-NetTrain shot=5-shot, Backbone=ViT-Base2026.02 | 93.47 | |
| AMSF-NetTrain shot=1-shot, Backbone=ViT-Base2026.02 | 92.51 | |
| Proto-NetTrain shot=5-shot, Backbone=ResNet-122026.02 | 92.31 | |
| Bi-FRNTrain shot=5-shot, Backbone=ResNet-122026.02 | 92.31 | |
| Proto-NetTrain shot=1-shot, Backbone=ViT-Base2026.02 | 91.9 | |
| C2-NetTrain shot=5-shot, Backbone=ResNet-122026.02 | 91.56 | |
| FRNTrain shot=5-shot, Backbone=ResNet-122026.02 | 91.51 | |
| C2-NetTrain shot=1-shot, Backbone=ResNet-122026.02 | 91.1 | |
| Bi-FRNTrain shot=1-shot, Backbone=ResNet-122026.02 | 90.56 | |
| FRNTrain shot=1-shot, Backbone=ResNet-122026.02 | 90.26 | |
| Bi-FRNTrain shot=1-shot, Backbone=Conv-42026.02 | 89.84 | |
| Proto-NetTrain shot=1-shot, Backbone=ResNet-122026.02 | 89.69 | |
| C2-NetTrain shot=1-shot, Backbone=Conv-42026.02 | 89.53 | |
| C2-NetTrain shot=5-shot, Backbone=Conv-42026.02 | 89.33 | |
| Bi-FRNTrain shot=5-shot, Backbone=Conv-42026.02 | 88.9 | |
| Proto-NetTrain shot=5-shot, Backbone=ViT-Base2026.02 | 88.47 | |
| FRNTrain shot=5-shot, Backbone=Conv-42026.02 | 83.52 | |
| Proto-NetTrain shot=5-shot, Backbone=Conv-42026.02 | 81.29 | |
| Proto-NetTrain shot=1-shot, Backbone=Conv-42026.02 | 77.37 | |
| FRNTrain shot=1-shot, Backbone=Conv-42026.02 | 73.92 |