Digit Classification on USPS → MNIST target (test)
98.7Accuracytarget only
Evaluation Results
| Method | Links | |
|---|---|---|
| target onlyadaptation=none, train_domain=target2018.03 | 98.7 | |
| IntraDAArchitecture=LeNet variant2020.04 | 97.8 | |
| Fully SupervisedArchitecture=Simple CNN (2 conv, 2 fc, BN)2021.12 | 97 | |
| CyCADAArchitecture=LeNet variant2020.04 | 96.5 | |
| DeepJDOTBackbone=LeNet2021.07 | 96.4 | |
| DeepJDOTadaptation=source to target2018.03 | 96.4 | |
| SRDA-G*noise_method=Gaussian, image_level_optimization=true2019.05 | 95.95 | |
| SRDA-Fnoise_method=FGSM, image_level_optimization=false2019.05 | 95.78 | |
| SRDA-Vnoise_method=VAT, image_level_optimization=false2019.05 | 95.49 | |
| SRDA-Gnoise_method=Gaussian, image_level_optimization=false2019.05 | 95.03 | |
| DeepJDOTadaptation=source to target, eval_domain=source2018.03 | 94.9 | |
| MCD2019.05 | 94.1 | |
| ADDAadaptation=source to target2018.03 | 93.8 | |
| UNITadaptation=source to target2018.03 | 93.5 | |
| Self-ensembleadaptation=source to target2018.03 | 92.35 | |
| SRDA-V*noise_method=VAT, image_level_optimization=true2019.05 | 92.17 | |
| DeepCORALadaptation=source to target2018.03 | 91.5 | |
| GenToAdaptadaptation=source to target2018.03 | 90.8 | |
| StochJDOTadaptation=source to target2018.03 | 90.5 | |
| ADDAArchitecture=LeNet variant2020.04 | 90.1 | |
| ADDA2019.05 | 90.1 | |
| DANNadaptation=source to target2018.03 | 90 | |
| TOHANNumber of Target Data per Class=72021.06 | 89.2 | |
| COGAN2019.05 | 89.1 | |
| CoGANadaptation=source to target2018.03 | 89.1 | |
| TOHANNumber of Target Data per Class=62021.06 | 88.2 | |
| TOHANNumber of Target Data per Class=52021.06 | 87.3 | |
| I2I Adaptadaptation=source to target2018.03 | 87.2 | |
| dkdHTLNumber of Target Data per Class=72021.06 | 86.8 | |
| TOHANNumber of Target Data per Class=42021.06 | 86.5 | |
| dkdHTLNumber of Target Data per Class=52021.06 | 86.2 | |
| dkdHTLNumber of Target Data per Class=62021.06 | 86.2 | |
| dkdHTLNumber of Target Data per Class=32021.06 | 85.9 | |
| dkdHTLNumber of Target Data per Class=42021.06 | 85.7 | |
| TOHANNumber of Target Data per Class=32021.06 | 85.6 | |
| dkdHTLNumber of Target Data per Class=22021.06 | 85.5 | |
| SRDA-F*noise_method=FGSM, image_level_optimization=true2019.05 | 85.37 | |
| TOHANNumber of Target Data per Class=22021.06 | 85.2 | |
| TOHANNumber of Target Data per Class=12021.06 | 84 | |
| dkdHTLNumber of Target Data per Class=12021.06 | 83.2 | |
| MDDAFeatures=SURF, d=30, T=102019.09 | 76.8 | |
| DRCN2019.05 | 73.7 | |
| DRCNadaptation=source to target2018.03 | 73.6 | |
| MMDadaptation=source to target2018.03 | 73.5 | |
| DANN2019.05 | 73 | |
| Source onlyArchitecture=LeNet variant2020.04 | 69.6 | |
| JGSAFeatures=SURF2019.09 | 68.2 | |
| Source Onlyadaptation_protocol=No adaptation2019.05 | 63.4 | |
| SVMFeatures=SURF2019.09 | 62.2 | |
| JDAFeatures=SURF2019.09 | 59.7 | |
| Source onlyadaptation=none, train_domain=source2018.03 | 59.6 | |
| DUAArchitecture=Simple CNN (2 conv, 2 fc, BN)2021.12 | 55 | |
| TCAFeatures=SURF2019.09 | 51.2 | |
| SCAFeatures=SURF2019.09 | 48 | |
| GFKFeatures=SURF2019.09 | 46.5 | |
| 1NNFeatures=SURF2019.09 | 44.7 | |
| Source onlyArchitecture=Simple CNN (2 conv, 2 fc, BN)2021.12 | 42 | |
| CORALFeatures=SURF2019.09 | 30.5 |