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ResearchFormerly WizWand

Medical Image Classification on DET10

88.5AccuracyLoRKD
73.180877.157981.13585.1121Apr 26, 2024
Updated 8mo ago

Evaluation results

MethodLinks
LoRKDPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.0488.5
LoRKDPre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.0487.84
LoRKDPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.0487.6
STLPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.0487.56
BaselinePre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.0487.54
BaselinePre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.0487.54
BaselinePre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.0487.54
STLPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.0487.52
KFPre-train=MedMnist, Params(M)=1.60, Comp. Ratio=6.81%2024.0487.41
KFPre-train=Med-MT, Params(M)=1.60, Comp. Ratio=6.81%2024.0487.39
MTLPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.0487.36
MTL-KDPre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.0487.34
STL-KDPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.0487.25
MTL-KDPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.0487.23
Aligned-MTLPre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.0487.19
MTL-KDPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.0487.17
KFPre-train=Radimagenet, Params(M)=1.60, Comp. Ratio=6.81%2024.0487.17
MTLPre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.0487.15
Aligned-MTLPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.0486.97
STL-KDPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.0486.93
Aligned-MTLPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.0486.91
MoCo-MTLPre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.0486.91
MTLPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.0486.82
MoCo-MTLPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.0486.82
FoundationPre-train=MedMnist, Params(M)=23.51, Comp. Ratio=/2024.0486.8
FoundationPre-train=Radimagenet, Params(M)=23.51, Comp. Ratio=/2024.0486.69
FoundationPre-train=Med-MT, Params(M)=23.51, Comp. Ratio=/2024.0486.69
MoCo-MTLPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.0486.43
STLPre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.0473.77