Classification on Office-31 v1 (full)
95.6Accuracy (A->W)DANN + MCC
Evaluation Results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| DANN + MCCBackbone=ResNet-502021.12 | 95.6 | 98.6 | 99.3 | 93.8 | 74 | 75 | 89.4 | |
| DANN + ParetoDABackbone=ResNet-502021.12 | 95.5 | 98.7 | 100 | 93.8 | 76.7 | 76.3 | 90.2 | |
| MDD + ParetoDABackbone=ResNet-502021.12 | 95.4 | 98.9 | 100 | 94.4 | 76.2 | 75.8 | 90.1 | |
| CDAN + ParetoDABackbone=ResNet-502021.12 | 95 | 98.9 | 100 | 95.4 | 77.6 | 75.7 | 90.4 | |
| CDAN + MCCBackbone=ResNet-502021.12 | 94.7 | 98.6 | 100 | 95 | 73 | 73.6 | 89.2 | |
| CDANBackbone=ResNet-502021.12 | 94.1 | 98.6 | 100 | 92.9 | 71 | 69.3 | 87.7 | |
| MDDBackbone=ResNet-502021.12 | 93.5 | 98.4 | 100 | 94.5 | 74.6 | 72.2 | 88.9 | |
| CDAN + BSPBackbone=ResNet-502021.12 | 93.3 | 98.2 | 100 | 93 | 73.6 | 72.6 | 88.5 | |
| DANN + BSPBackbone=ResNet-502021.12 | 93 | 98 | 100 | 90 | 71.9 | 73 | 87.7 | |
| GSPBackbone=ResNet-502021.12 | 92.9 | 98.7 | 99.8 | 94.5 | 75.9 | 74.9 | 89.5 | |
| TATBackbone=ResNet-502021.12 | 92.5 | 99.3 | 100 | 93.2 | 73.1 | 72.1 | 88.4 | |
| BNMBackbone=ResNet-502021.12 | 91.5 | 98.5 | 100 | 90.3 | 70.9 | 71.6 | 87.1 | |
| JADABackbone=ResNet-502021.12 | 90.5 | 97.5 | 100 | 88.2 | 70.9 | 70.6 | 86.1 | |
| DANNBackbone=ResNet-502021.12 | 82 | 96.9 | 99.1 | 79.7 | 68.2 | 67.4 | 82.2 | |
| DANBackbone=ResNet-502021.12 | 80.5 | 97.1 | 99.6 | 78.6 | 63.6 | 62.8 | 80.4 | |
| ResNetBackbone=ResNet-502021.12 | 68.4 | 96.7 | 99.3 | 68.9 | 62.5 | 60.7 | 76.1 |