Image Classification on DomainNet 126 (C, P, R, S, Avg Metrics)
83.2Average AccuracyAutoS
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| AutoSsource-free=false2025.12 | 83.2 | 83.7 | 81 | 90 | 78.1 | — | — | — | |
| GSDE2025.12 | 83.1 | 83.4 | 77.8 | 91 | 79.9 | — | — | — | |
| FuzHDA2025.12 | 82 | 82.4 | 80 | 88.7 | 76.9 | — | — | — | |
| AutoS/sfsource-free=true2025.12 | 81.5 | 82.1 | 79.7 | 89.2 | 75 | — | — | — | |
| LCFD2025.12 | 80.1 | 79.3 | 77.5 | 88.1 | 75.3 | — | — | — | |
| DAMP2025.12 | 77.5 | 74.5 | 76.2 | 88.4 | 71 | — | — | — | |
| TIGM2025.12 | 75.2 | 74.7 | 72.1 | 86.2 | 67.7 | — | — | — | |
| Ucon-SFDA2025.12 | 72.1 | 72.2 | 69.6 | 81 | 65.4 | — | — | — | |
| ROIDBackbone=ResNet-50, Batch Size=642025.10 | 63.19 | — | — | — | — | 75.04 | 57.3 | 57.24 | |
| ROIDBackbone=ResNet-50, Batch Size=642025.10 | 62.93 | — | 58.76 | — | — | 68.58 | — | 61.44 | |
| ELaTTABackbone=ResNet-50, Batch Size=642025.10 | 62.49 | — | — | — | — | 78.24 | 53.74 | 55.5 | |
| SARBackbone=ResNet-50, Batch Size=642025.10 | 61.49 | — | 57.56 | — | — | 67.92 | — | 58.98 | |
| ELaTTABackbone=ResNet-50, Batch Size=12025.10 | 61.08 | — | — | — | — | 76.08 | 52.94 | 54.22 | |
| ELaTTABackbone=ResNet-50, Batch Size=642025.10 | 60.77 | — | 56.52 | — | — | 64.46 | — | 61.32 | |
| SARBackbone=ResNet-50, Batch Size=642025.10 | 60.35 | — | — | — | — | 73.58 | 53.96 | 53.5 | |
| No AdaptBackbone=ResNet-502025.10 | 59.27 | — | — | — | — | 74.84 | 49.7 | 53.26 | |
| ELaTTABackbone=ResNet-50, Batch Size=12025.10 | 59.15 | — | 54.44 | — | — | 63.5 | — | 59.5 | |
| No AdaptBackbone=ResNet-502025.10 | 54.23 | — | 48.48 | — | — | 59.32 | — | 54.88 | |
| MEMOBackbone=ResNet-50, Batch Size=12025.10 | 27.87 | — | — | — | — | 40.38 | 17.82 | 25.42 | |
| MEMOBackbone=ResNet-50, Batch Size=12025.10 | 20.53 | — | 13.92 | — | — | 21.68 | — | 26 | |
| SARBackbone=ResNet-50, Batch Size=12025.10 | 4.85 | — | 4.78 | — | — | 5.26 | — | 4.5 | |
| SARBackbone=ResNet-50, Batch Size=12025.10 | 4.63 | — | — | — | — | 6.42 | 4.24 | 3.22 | |
| ROIDBackbone=ResNet-50, Batch Size=12025.10 | 0.31 | — | 0.3 | — | — | 0.48 | — | 0.16 | |
| ROIDBackbone=ResNet-50, Batch Size=12025.10 | 0.27 | — | — | — | — | 0.48 | 0.16 | 0.16 |