Medical Image Classification on PAD-UFES-20 (test)
76.3AccuracyHyperAdapt
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| HyperAdaptBackbone=Swin-T2026.01 | 76.3 | 78.8 | 69.1 | 72.7 | |
| FairQuantizeBackbone=Swin-T2026.01 | 75.9 | 74.6 | 67.8 | 69.7 | |
| VanillaBackbone=Swin-T2026.01 | 75.4 | 75 | 66.2 | 69.2 | |
| GroupModelBackbone=Swin-T2026.01 | 75.4 | 72.9 | 67.3 | 69.4 | |
| FairAdaBNBackbone=Swin-T2026.01 | 74.8 | 72.3 | 67.9 | 68.5 | |
| GroupAdaptBackbone=Swin-T2026.01 | 74.6 | 75.3 | 65.9 | 69.4 | |
| HEALBackbone=Swin-T2026.01 | 73.5 | 75.1 | 68.4 | 70.6 | |
| DAFTBackbone=Swin-T2026.01 | 73.3 | 72.1 | 65.6 | 68.1 |