Image Classification on VisDA
93.5Accuracy (plane)MEDM
Evaluation results
| Method | Links | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MEDMBackbone=ResNet-1012020.02 | 93.5 | 82.4 | 80.4 | 90.8 | 70.3 | 92.8 | 87.9 | 91.1 | 79.8 | 93.7 | 83.6 | 86.1 | 38.7 | |
| BSP+CDANBackbone=ResNet-1012020.02 | 92.4 | 75.9 | 61 | 81 | 57.5 | 89 | 80.6 | 90.1 | 77 | 84.2 | 77.9 | 82.1 | 38.4 | |
| DANBackbone=ResNet-1012020.02 | 87.1 | 61.1 | 63 | 76.5 | 42 | 90.3 | 42.9 | 85.9 | 53.1 | 49.7 | 36.3 | 85.8 | 20.7 | |
| MCDBackbone=ResNet-1012020.02 | 87 | 71.9 | 60.9 | 83.7 | 64 | 88.9 | 79.6 | 84.7 | 76.9 | 88.6 | 40.3 | 83 | 25.8 | |
| CDANBackbone=ResNet-1012020.02 | 85.2 | 73.7 | 66.9 | 83 | 50.8 | 84.2 | 74.9 | 88.1 | 74.5 | 83.4 | 76 | 81.9 | 38 | |
| RevGradBackbone=ResNet-1012020.02 | 81.9 | 57.4 | 77.7 | 82.8 | 44.3 | 81.2 | 29.5 | 65.1 | 28.6 | 51.9 | 54.6 | 82.8 | 7.8 |