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ResearchFormerly WizWand

Medical Image Classification on COVID (downstream)

86.21AccuracyLoRKD
78.014880.142482.2784.3976Apr 26, 2024
Updated 8mo ago

Evaluation results

MethodLinks
LoRKDPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.0486.21
LoRKDPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.0484.24
MTLPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.0483.25
STLPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.0483.25
LoRKDPre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.0483.25
BaselinePre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.0482.76
STLPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.0482.76
BaselinePre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.0482.76
FoundationPre-train=Med-MT, Params(M)=23.51, Comp. Ratio=/2024.0482.76
BaselinePre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.0482.76
MTLPre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.0482.76
MTL-KDPre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.0482.76
STL-KDPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.0482.27
Aligned-MTLPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.0482.27
Aligned-MTLPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.0482.27
MTL-KDPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.0481.77
MTLPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.0481.28
KFPre-train=Radimagenet, Params(M)=1.60, Comp. Ratio=6.81%2024.0480.79
MTL-KDPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.0480.79
KFPre-train=MedMnist, Params(M)=1.60, Comp. Ratio=6.81%2024.0480.79
MoCo-MTLPre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.0480.79
KFPre-train=Med-MT, Params(M)=1.60, Comp. Ratio=6.81%2024.0480.79
FoundationPre-train=MedMnist, Params(M)=23.51, Comp. Ratio=/2024.0480.3
STL-KDPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.0479.8
Aligned-MTLPre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.0479.8
MoCo-MTLPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.0478.82
MoCo-MTLPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.0478.82
FoundationPre-train=Radimagenet, Params(M)=23.51, Comp. Ratio=/2024.0478.33