Image Classification on DomainNet v1 (test)
26.1Accuracy (Clipart)DADA
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| DADABackbone=ResNet1012019.04 | 26.1 | 20 | 26.5 | 12.9 | 20.7 | 22.8 | 21.5 | |
| ResNet101Backbone=ResNet1012019.04 | 25.6 | 16.8 | 25.8 | 9.2 | 20.6 | 22.3 | 20.1 | |
| MCDBackbone=ResNet1012019.04 | 25.1 | 19.1 | 27 | 10.4 | 20.2 | 22.5 | 20.7 | |
| DANNBackbone=AlexNet2019.04 | 24.1 | 15.2 | 24.5 | 8.2 | 18 | 24.1 | 19.1 | |
| DADABackbone=AlexNet2019.04 | 23.9 | 17.9 | 25.4 | 9.4 | 20.5 | 25.2 | 20.4 | |
| DANBackbone=AlexNet2019.04 | 23.7 | 14.9 | 22.7 | 7.6 | 19.4 | 23.4 | 18.6 | |
| AlexNetBackbone=AlexNet2019.04 | 22.5 | 15.3 | 21.2 | 6 | 17.2 | 21.8 | 17.3 | |
| RTNBackbone=AlexNet2019.04 | 21.4 | 14.2 | 21 | 7.7 | 17.8 | 20.8 | 17.2 | |
| SEBackbone=ResNet1012019.04 | 21.3 | 8.5 | 14.5 | 13.8 | 16 | 19.7 | 15.6 | |
| JANBackbone=AlexNet2019.04 | 21.1 | 16.5 | 21.6 | 9.9 | 15.4 | 22.5 | 17.8 |