Image Classification on UNGT
90.67Accuracy (ACC)MedAugment
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| MedAugmentBackbone=SwT2023.06 | 90.67 | 90.631 | 90.631 | 88.63 | 88.63 | 89.5 | |
| GSDABackbone=SwT2023.06 | 90 | 89.9 | 89.9 | 87.93 | 87.93 | 88.77 | |
| AugMixBackbone=SwT2023.06 | 89.67 | 88.83 | 88.83 | 88.33 | 88.33 | 88.53 | |
| RandAugmentBackbone=SwT2023.06 | 89.33 | 90.1 | 90.1 | 86.3 | 86.3 | 87.73 | |
| AutoAugmentBackbone=SwT2023.06 | 88.67 | 88 | 88 | 86.9 | 86.9 | 87.33 | |
| TrivialAugmentBackbone=SwT2023.06 | 87.67 | 87.6 | 87.6 | 85 | 85 | 85.93 | |
| NoAugmentBackbone=SwT2023.06 | 87.33 | 87.4 | 87.4 | 84.33 | 84.33 | 85.53 | |
| MedAugmentBackbone=ResNet2023.06 | 84 | 84 | 84 | 81.53 | 81.53 | 81.97 | |
| TrivialAugmentBackbone=ResNet2023.06 | 82.67 | 83.67 | 83.67 | 79 | 79 | 79.63 | |
| RandAugmentBackbone=ResNet2023.06 | 82.33 | 82.6 | 82.6 | 78.27 | 78.27 | 79.33 | |
| AutoAugmentBackbone=ResNet2023.06 | 82 | 82.43 | 82.43 | 78.27 | 78.27 | 79.2 | |
| AugMixBackbone=ResNet2023.06 | 81.33 | 81.23 | 81.23 | 80.17 | 80.17 | 79.2 | |
| GSDABackbone=ResNet2023.06 | 75 | 80.77 | 80.77 | 68 | 68 | 66.1 | |
| NoAugmentBackbone=ResNet2023.06 | 73.33 | 74.27 | 74.27 | 74.63 | 74.63 | 71.93 |