Image Classification on LUNG
88.2Accuracy (ACC)MedAugment
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| MedAugmentBackbone=SwT2023.06 | 88.2 | 94.13 | 90.43 | 82.4 | 91.1 | 85.63 | |
| GSDABackbone=SwT2023.06 | 86.97 | 93.6 | 89.57 | 80.37 | 90.2 | 83.97 | |
| AugMixBackbone=SwT2023.06 | 86.97 | 93.73 | 90.17 | 80.17 | 90 | 83.97 | |
| AutoAugmentBackbone=SwT2023.06 | 86.73 | 93.47 | 90.47 | 80.13 | 89.7 | 83.87 | |
| TrivialAugmentBackbone=SwT2023.06 | 86.03 | 93.33 | 90.17 | 78.57 | 89.1 | 82.77 | |
| RandAugmentBackbone=SwT2023.06 | 84.87 | 92.67 | 89.37 | 76.87 | 88.1 | 81.37 | |
| NoAugmentBackbone=SwT2023.06 | 84.4 | 92.63 | 89.57 | 75.77 | 87.6 | 80.6 | |
| MedAugmentBackbone=ResNet2023.06 | 77.53 | 88.8 | 80.33 | 66.23 | 84.17 | 66.73 | |
| TrivialAugmentBackbone=ResNet2023.06 | 73.73 | 87.6 | 79.8 | 59.5 | 80.2 | 62.4 | |
| RandAugmentBackbone=ResNet2023.06 | 72.13 | 86 | 64.17 | 59.13 | 81.13 | 56.73 | |
| GSDABackbone=ResNet2023.06 | 72.1 | 85.6 | 56.4 | 57.3 | 79.4 | 55.13 | |
| AutoAugmentBackbone=ResNet2023.06 | 71.63 | 87.27 | 75.57 | 53.5 | 77.6 | 54.5 | |
| AugMixBackbone=ResNet2023.06 | 66.93 | 86.9 | 52.97 | 44.8 | 72.5 | 42.9 | |
| NoAugmentBackbone=ResNet2023.06 | 63.33 | 82.9 | 48.1 | 42.6 | 71.73 | 38.87 |