Object Classification on VisDA (val)
90.3Plane AccuracyMCD
Evaluation results
| Method | Links | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MCDBackbone=ResNet101, Epochs=10, n (generator update frequency)=32017.12 | 90.3 | 49.3 | 82.1 | 62.9 | 91.8 | 69.4 | 83.8 | 72.8 | 79.8 | 53.3 | 81.5 | 29.7 | 70.6 | |
| MMDBackbone=ResNet101, Epochs=102017.12 | 87.1 | 63 | 76.5 | 42 | 90.3 | 42.9 | 85.9 | 53.1 | 49.7 | 36.3 | 85.8 | 20.7 | 61.1 | |
| MCDBackbone=ResNet101, Epochs=10, n (generator update frequency)=42017.12 | 87 | 60.9 | 83.7 | 64 | 88.9 | 79.6 | 84.7 | 76.9 | 88.6 | 40.3 | 83 | 25.8 | 71.9 | |
| DANNBackbone=ResNet101, Epochs=102017.12 | 81.9 | 77.7 | 82.8 | 44.3 | 81.2 | 29.5 | 65.1 | 28.6 | 51.9 | 54.6 | 82.8 | 7.8 | 57.4 | |
| MCDBackbone=ResNet101, Epochs=10, n (generator update frequency)=22017.12 | 81.1 | 55.3 | 83.6 | 65.7 | 87.6 | 72.7 | 83.1 | 73.9 | 85.3 | 47.7 | 73.2 | 27.1 | 69.7 | |
| Source OnlyBackbone=ResNet101, Epochs=102017.12 | 55.1 | 53.3 | 61.9 | 59.1 | 80.6 | 17.9 | 79.7 | 31.2 | 81 | 26.5 | 73.5 | 8.5 | 52.4 |