Domain Generalization on DomainNet out-of-domain
59.38AccuracyVL2V-ADIP
Evaluation results
| Method | Links | |
|---|---|---|
| VL2V-ADIPStudent Backbone=ViT-B/16, Strategy=SWAD2023.10 | 59.38 | |
| DARTStudent Backbone=ViT-B/162023.10 | 58.05 | |
| SAGM2023.03 | 0.45 | |
| GSAM2023.03 | 0.446 | |
| MiroPre-trained model=CLIP2023.03 | 0.443 | |
| SAM2023.03 | 0.443 | |
| ERM2023.03 | 0.438 | |
| SelfReg2023.03 | 0.428 | |
| mDSDI2023.03 | 0.428 | |
| Fish2023.03 | 0.427 | |
| CORAL2023.03 | 0.415 | |
| MLDG2023.03 | 0.412 | |
| MTL2023.03 | 0.406 | |
| SagNet2023.03 | 0.403 | |
| Mixup2023.03 | 0.392 | |
| RSC2023.03 | 0.389 | |
| CDANN2023.03 | 0.383 | |
| DANN2023.03 | 0.383 | |
| AND-mask2023.03 | 0.372 | |
| ARM2023.03 | 0.355 | |
| Mixstyle2023.03 | 0.34 | |
| IRM2023.03 | 0.339 | |
| VREx2023.03 | 0.336 | |
| GroupDRO2023.03 | 0.333 | |
| MMD2023.03 | 0.234 |