Domain Generalization on PACS 23 (test)
97.05Acc (Photo)Intra-Source Stylization
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Intra-Source StylizationBackbone=ResNet-18, Model Selection=Max target dataset accuracy2020.06 | 97.05 | 82.73 | 79.64 | 80.1 | 84.88 | |
| Inter-Source StylizationBackbone=ResNet-18, Model Selection=Max target dataset accuracy2020.06 | 96.89 | 84.33 | 80.15 | 81.53 | 85.72 | |
| Probabilistic StylizationBackbone=ResNet-18, Model Selection=Max target dataset accuracy2020.06 | 96.85 | 85.45 | 79.56 | 79.32 | 85.3 | |
| Intra-Source StylizationBackbone=ResNet-18, Model Selection=Source validation data2020.06 | 96.45 | 80.81 | 78.85 | 77.83 | 83.49 | |
| Probabilistic StylizationBackbone=ResNet-18, Model Selection=Source validation data2020.06 | 96.29 | 84.6 | 78.81 | 78.9 | 84.64 | |
| Inter-Source StylizationBackbone=ResNet-18, Model Selection=Source validation data2020.06 | 96.27 | 83.17 | 78.9 | 79.87 | 84.55 | |
| MMLDBackbone=ResNet-18, Model Selection=Source validation data2020.06 | 96.09 | 81.28 | 77.16 | 72.29 | 81.83 | |
| JiGenBackbone=ResNet-18, Model Selection=Source validation data2020.06 | 96.03 | 79.42 | 75.25 | 71.35 | 80.51 | |
| Meta-RegBackbone=ResNet-18, Model Selection=Source validation data2020.06 | 95.5 | 83.7 | 77.2 | 70.3 | 81.7 | |
| D-SAMBackbone=ResNet-18, Model Selection=Source validation data2020.06 | 95.3 | 77.33 | 72.43 | 77.83 | 80.72 | |
| MASFBackbone=ResNet-18, Model Selection=Max target dataset accuracy2020.06 | 94.99 | 80.29 | 77.17 | 71.69 | 81.79 | |
| Epi-FCRBackbone=ResNet-18, Model Selection=Source validation data2020.06 | 93.9 | 82.1 | 77 | 73 | 81.5 | |
| Probabilistic StylizationBackbone=AlexNet, Model Selection=Max target dataset accuracy2020.06 | 91.6 | 76.01 | 73.82 | 73.07 | 78.62 | |
| Inter-Source StylizationBackbone=AlexNet, Model Selection=Max target dataset accuracy2020.06 | 91.52 | 74.59 | 73.15 | 74.71 | 78.49 | |
| Intra-Source StylizationBackbone=AlexNet, Model Selection=Max target dataset accuracy2020.06 | 91.49 | 73.06 | 73.74 | 72.33 | 77.66 | |
| Meta-RegBackbone=AlexNet, Model Selection=Source validation data2020.06 | 91.07 | 69.82 | 70.35 | 59.26 | 72.62 | |
| Intra-Source StylizationBackbone=AlexNet, Model Selection=Source validation data2020.06 | 90.72 | 71.09 | 73.14 | 68.67 | 75.9 | |
| MASFBackbone=AlexNet, Model Selection=Max target dataset accuracy2020.06 | 90.68 | 70.35 | 72.46 | 67.33 | 75.21 | |
| PARBackbone=AlexNet, Model Selection=Source validation data2020.06 | 90.4 | 68.7 | 70.5 | 64.6 | 73.54 | |
| Probabilistic StylizationBackbone=AlexNet, Model Selection=Source validation data2020.06 | 90 | 73.71 | 72.37 | 70.4 | 76.62 | |
| Inter-Source StylizationBackbone=AlexNet, Model Selection=Source validation data2020.06 | 89.76 | 72.52 | 71.72 | 71.21 | 76.3 | |
| MMLDBackbone=AlexNet, Model Selection=Source validation data2020.06 | 89 | 69.27 | 72.83 | 66.44 | 73.38 | |
| JiGenBackbone=AlexNet, Model Selection=Source validation data2020.06 | 88.98 | 67.63 | 71.71 | 65.18 | 74.38 | |
| MLDGBackbone=AlexNet, Model Selection=Source validation data2020.06 | 88 | 66.23 | 66.88 | 58.96 | 70.01 | |
| Epi-FCRBackbone=AlexNet, Model Selection=Source validation data2020.06 | 86.1 | 64.7 | 72.3 | 65 | 72 | |
| D-SAMBackbone=AlexNet, Model Selection=Source validation data2020.06 | 85.55 | 63.87 | 70.7 | 66.66 | 71.2 |