Unsupervised Domain Adaptation on Digits (MNIST, USPS, SVHN)
93.51Accuracy (S->M)Target Risk (Upper Bound)
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| Target Risk (Upper Bound)Base Model=GTA, Validation Method=Target Risk (Upper Bound)2026.06 | 93.51 | 92.97 | 97.03 | 94.5 | |
| DEVBase Model=GTA, Validation Method=DEV2026.06 | 93.18 | 92.54 | 96.93 | 94.22 | |
| OriginalBase Model=GTA, Validation Method=Original2026.06 | 92.4 | 90.8 | 95.3 | 92.83 | |
| ILA-DA (with CDAN)Backbone=LeNet, Base Method=CDAN, k=3, mu=0.752021.04 | 92.3 | 94.87 | 97.47 | 94.88 | |
| ILA-DA (with DANN)Backbone=LeNet, Base Method=DANN, k=3, mu=0.752021.04 | 91.84 | 92.43 | 97.32 | 93.83 | |
| UNITBackbone=ResNet-502017.05 | 90.5 | 96 | 93.6 | 93.4 | |
| CyCADABackbone=ResNet-502017.05 | 90.4 | 95.6 | 96.5 | 94.2 | |
| CDAN+EBackbone=ResNet-502017.05 | 89.2 | 95.6 | 98 | 94.3 | |
| CDANBackbone=ResNet-502017.05 | 88.5 | 93.9 | 96.9 | 93.1 | |
| CDANBackbone=LeNet2021.04 | 88.5 | 93.9 | 96.9 | 93.1 | |
| ATTBackbone=LeNet2021.04 | 85 | — | — | — | |
| DANNBackbone=LeNet2021.04 | 83.11 | 90.8 | 93.95 | 89.29 | |
| DSNBackbone=LeNet2021.04 | 82.7 | 91.3 | — | — | |
| Source RiskBase Model=GTA, Validation Method=Source Risk2026.06 | 77.58 | 85.92 | 92.03 | 85.18 | |
| ADDABackbone=LeNet2021.04 | 76 | 89.4 | 90.1 | 85.2 | |
| Source OnlyBackbone=LeNet2021.04 | 67.1 | 76.7 | 63.4 | 69.1 |