Medical Image Classification on COVID2
97.82AccuracyConvNeXt-Tiny Ensemble (Ensemble 1000/15)
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| ConvNeXt-Tiny Ensemble (Ensemble 1000/15)2026.05 | 97.82 | 97.93 | 97.88 | 97.9 | 99.88 | |
| CPVTFLOPs (G)=15.64, Params (M)=22.762026.05 | 94.97 | 93.77 | 95.25 | 94.74 | 98.99 | |
| ConvNeXtFLOPs (G)=8.73, Params (M)=49.462026.05 | 94.86 | 93.4 | 94.76 | 94.58 | 98.57 | |
| SPAFLOPs (G)=4.57, Params (M)=30.022026.05 | 94.71 | 93.74 | 95.13 | 94.3 | 98.56 | |
| SG-FormerFLOPs (G)=4.59, Params (M)=22.552026.05 | 94.53 | 93.68 | 95.08 | 94.22 | 98.45 | |
| FocalNetFLOPs (G)=8.65, Params (M)=49.892026.05 | 94.25 | 93.12 | 94.05 | 93.96 | 98.74 | |
| SMTFLOPs (G)=4.72, Params (M)=22.042026.05 | 94.17 | 92.52 | 94.74 | 93.42 | 98.81 | |
| PerViTFLOPs (G)=11.5, Params (M)=20.852026.05 | 94.13 | 92.05 | 93.73 | 92.92 | 98.6 | |
| CMTFLOPs (G)=3.95, Params (M)=24.982026.05 | 93.88 | 92.41 | 91.95 | 92.06 | 98.36 | |
| SWINFLOPs (G)=15.19, Params (M)=87.772026.05 | 93.2 | 92.21 | 94.04 | 92.98 | 97.88 |