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ResearchFormerly WizWand

Image Classification on XJTU Meningioma (4-way 1-shot, test)

0.9976AccuracyAMSF-Net
0.7808640.8371320.89340.949668Feb 11, 2026
Updated 8mo ago

Evaluation results

MethodLinks
AMSF-NetTrain shot=5-shot, Backbone=ViT-Base2026.020.9976
AMSF-NetTrain shot=1-shot, Backbone=ViT-Base2026.020.997
Proto-NetTrain shot=5-shot, Backbone=ResNet-122026.020.9921
FRNTrain shot=5-shot, Backbone=ResNet-122026.020.9906
Bi-FRNTrain shot=1-shot, Backbone=ResNet-122026.020.985
Bi-FRNTrain shot=5-shot, Backbone=ResNet-122026.020.9847
Proto-NetTrain shot=1-shot, Backbone=ViT-Base2026.020.9817
Proto-NetTrain shot=5-shot, Backbone=ViT-Base2026.020.9787
Proto-NetTrain shot=1-shot, Backbone=ResNet-122026.020.9779
C2-NetTrain shot=1-shot, Backbone=ResNet-122026.020.977
FRNTrain shot=1-shot, Backbone=ResNet-122026.020.9735
Bi-FRNTrain shot=5-shot, Backbone=Conv-42026.020.9685
Bi-FRNTrain shot=1-shot, Backbone=Conv-42026.020.9683
C2-NetTrain shot=1-shot, Backbone=Conv-42026.020.9665
FRNTrain shot=5-shot, Backbone=Conv-42026.020.9507
C2-NetTrain shot=5-shot, Backbone=ResNet-122026.020.9489
Proto-NetTrain shot=5-shot, Backbone=Conv-42026.020.9464
C2-NetTrain shot=5-shot, Backbone=Conv-42026.020.9348
Proto-NetTrain shot=1-shot, Backbone=Conv-42026.020.8695
FRNTrain shot=1-shot, Backbone=Conv-42026.020.7892