Image Classification on ColoredMNIST
85.24AccuracyMRL
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| MRLBackbone=ResNet-182025.08 | 85.24 | 60.31 | |
| DualTTA2026.04 | 82.12 | 68.82 | |
| Gradadaptation_mode=test-time2026.06 | 81.33 | — | |
| SVGDadaptation_mode=test-time2026.06 | 80.36 | — | |
| KLadaptation_mode=test-time2026.06 | 80.21 | — | |
| Deyo + Hi-VecBackbone=ResNet-182025.08 | 79.53 | 68.62 | |
| DeYO + Hi-VecBackbone=ResNet-182025.08 | 79.53 | 68.62 | |
| Naiveadaptation_mode=test-time2026.06 | 79.21 | — | |
| DeyoBackbone=ResNet-182025.08 | 78.24 | 67.39 | |
| DeYOBackbone=ResNet-182025.08 | 78.24 | 67.39 | |
| DeYO2026.04 | 77.98 | 65.59 | |
| DeYoadaptation_mode=test-time2026.06 | 76.88 | — | |
| MRLBackbone=ResNet-182025.08 | 65.13 | 21.02 | |
| MEMOBackbone=ResNet-182025.08 | 63.77 | 6.23 | |
| MEMOBackbone=ResNet-182025.08 | 63.77 | 6.23 | |
| No adapt2026.04 | 63.46 | 20.14 | |
| SourceBackbone=ResNet-182025.08 | 63.4 | 20.05 | |
| SourceBackbone=ResNet-182025.08 | 63.4 | 20.05 | |
| SENTRYBackbone=ResNet-182025.08 | 63.23 | 15.78 | |
| SENTRYBackbone=ResNet-182025.08 | 63.23 | 15.78 | |
| SAR + Hi-VecBackbone=ResNet-182025.08 | 62.71 | 15.68 | |
| SAR + Hi-VecBackbone=ResNet-182025.08 | 62.71 | 15.68 | |
| EATABackbone=ResNet-182025.08 | 60.81 | 17.98 | |
| EATABackbone=ResNet-182025.08 | 60.81 | 17.98 | |
| EATA2026.04 | 60.65 | 17.59 | |
| SARBackbone=ResNet-182025.08 | 58.37 | 12.36 | |
| SARBackbone=ResNet-182025.08 | 58.37 | 12.36 | |
| SAR2026.04 | 58.1 | 11.82 | |
| SARadaptation_mode=test-time2026.06 | 57.28 | — | |
| TentBackbone=ResNet-182025.08 | 57.06 | 9.8 | |
| TentBackbone=ResNet-182025.08 | 57.06 | 9.8 | |
| Tent2026.04 | 56.51 | 8.99 | |
| Tentadaptation_mode=test-time2026.06 | 56.3 | — |