Medical Image Classification on COVID (downstream)
86.21AccuracyLoRKD
Evaluation Results
| Method | Links | |
|---|---|---|
| LoRKDPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 86.21 | |
| LoRKDPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 84.24 | |
| MTLPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 83.25 | |
| STLPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 83.25 | |
| LoRKDPre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 83.25 | |
| BaselinePre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 82.76 | |
| STLPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 82.76 | |
| BaselinePre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 82.76 | |
| FoundationPre-train=Med-MT, Params(M)=23.51, Comp. Ratio=/2024.04 | 82.76 | |
| BaselinePre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 82.76 | |
| MTLPre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 82.76 | |
| MTL-KDPre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 82.76 | |
| STL-KDPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 82.27 | |
| Aligned-MTLPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 82.27 | |
| Aligned-MTLPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 82.27 | |
| MTL-KDPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 81.77 | |
| MTLPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 81.28 | |
| KFPre-train=Radimagenet, Params(M)=1.60, Comp. Ratio=6.81%2024.04 | 80.79 | |
| MTL-KDPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 80.79 | |
| KFPre-train=MedMnist, Params(M)=1.60, Comp. Ratio=6.81%2024.04 | 80.79 | |
| MoCo-MTLPre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 80.79 | |
| KFPre-train=Med-MT, Params(M)=1.60, Comp. Ratio=6.81%2024.04 | 80.79 | |
| FoundationPre-train=MedMnist, Params(M)=23.51, Comp. Ratio=/2024.04 | 80.3 | |
| STL-KDPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 79.8 | |
| Aligned-MTLPre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 79.8 | |
| MoCo-MTLPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 78.82 | |
| MoCo-MTLPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 78.82 | |
| FoundationPre-train=Radimagenet, Params(M)=23.51, Comp. Ratio=/2024.04 | 78.33 |