Medical Image Classification on Radimagenet
78.92Lung AccuracyMTL-KD
Evaluation results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| MTL-KDParams(M)=1.252024.04 | 78.92 | 33.89 | 91.97 | 48.51 | 43.34 | 21.03 | 18.48 | 84.18 | 54.9 | 55.75 | |
| LoRKDParams(M)=2.212024.04 | 78.72 | 36.95 | 91.87 | 48.8 | 43.26 | 21.41 | 19.26 | 84.6 | 55.93 | 56.26 | |
| STL-KDParams(M)=13.792024.04 | 78 | 31.74 | 91.34 | 46.57 | 43.09 | 19.77 | 19.43 | 83.83 | 52.19 | 54.99 | |
| Aligned-MTLParams(M)=1.252024.04 | 77.74 | 36.38 | 91.76 | 48.41 | 43.28 | 21.26 | 18.37 | 84.54 | 54.86 | 55.79 | |
| MTLParams(M)=1.252024.04 | 77.16 | 37.45 | 91.73 | 46.47 | 42.72 | 20.85 | 18.17 | 84.67 | 55.16 | 55.81 | |
| STLParams(M)=13.792024.04 | 76.42 | 33.94 | 91.55 | 49.32 | 41.8 | 20.62 | 20.31 | 83.88 | 51.05 | 54.91 | |
| MoCo-MTLParams(M)=1.252024.04 | 76.28 | 45.56 | 86.26 | 45.58 | 43.97 | 18.74 | 17.41 | 84.33 | 52.71 | 55.7 | |
| KFParams(M)=5.012024.04 | 64.57 | 20.38 | 95.82 | 45.56 | 39.03 | 24.18 | 16.69 | 78.46 | 51.74 | 51.01 | |
| FoundationParams(M)=23.512024.04 | 36.22 | 46.52 | 74.05 | 40.09 | 31.32 | 17.79 | 12.95 | 77.3 | 32.33 | 43.74 |