Medical Image Classification on DET10
88.5AccuracyLoRKD
Evaluation Results
| Method | Links | |
|---|---|---|
| LoRKDPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 88.5 | |
| LoRKDPre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 87.84 | |
| LoRKDPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 87.6 | |
| STLPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 87.56 | |
| BaselinePre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 87.54 | |
| BaselinePre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 87.54 | |
| BaselinePre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 87.54 | |
| STLPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 87.52 | |
| KFPre-train=MedMnist, Params(M)=1.60, Comp. Ratio=6.81%2024.04 | 87.41 | |
| KFPre-train=Med-MT, Params(M)=1.60, Comp. Ratio=6.81%2024.04 | 87.39 | |
| MTLPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 87.36 | |
| MTL-KDPre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 87.34 | |
| STL-KDPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 87.25 | |
| MTL-KDPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 87.23 | |
| Aligned-MTLPre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 87.19 | |
| MTL-KDPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 87.17 | |
| KFPre-train=Radimagenet, Params(M)=1.60, Comp. Ratio=6.81%2024.04 | 87.17 | |
| MTLPre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 87.15 | |
| Aligned-MTLPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 86.97 | |
| STL-KDPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 86.93 | |
| Aligned-MTLPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 86.91 | |
| MoCo-MTLPre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 86.91 | |
| MTLPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 86.82 | |
| MoCo-MTLPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 86.82 | |
| FoundationPre-train=MedMnist, Params(M)=23.51, Comp. Ratio=/2024.04 | 86.8 | |
| FoundationPre-train=Radimagenet, Params(M)=23.51, Comp. Ratio=/2024.04 | 86.69 | |
| FoundationPre-train=Med-MT, Params(M)=23.51, Comp. Ratio=/2024.04 | 86.69 | |
| MoCo-MTLPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 86.43 | |
| STLPre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 73.77 |