Regression on RCF-MNIST
0.146RMSE (Avg)C-Mixup
Evaluation results
| Method | Links | ||
|---|---|---|---|
| C-Mixup2022.10 | 0.146 | — | |
| C-MixupBackbone=three-layer full connected network2022.10 | 0.146 | — | |
| IRM2022.10 | 0.153 | — | |
| IRMBackbone=three-layer full connected network2022.10 | 0.153 | — | |
| V-REX2022.10 | 0.154 | — | |
| V-RExBackbone=three-layer full connected network2022.10 | 0.154 | — | |
| ERM2022.10 | 0.162 | — | |
| ERMBackbone=three-layer full connected network2022.10 | 0.162 | — | |
| CORAL2022.10 | 0.163 | — | |
| CORALBackbone=three-layer full connected network2022.10 | 0.163 | — | |
| IB-IRM2022.10 | 0.167 | — | |
| IB-IRMBackbone=three-layer full connected network2022.10 | 0.167 | — | |
| mixup2022.10 | 0.176 | — | |
| mixupBackbone=three-layer full connected network2022.10 | 0.176 | — | |
| GroupDRO2022.10 | 0.232 | — | |
| GroupDROBackbone=three-layer full connected network2022.10 | 0.232 | — | |
| Fish2022.10 | 0.263 | — | |
| FishBackbone=three-layer full connected network2022.10 | 0.263 | — | |
| PseudoLabel+SRLabels=1%, SemiReward=true2023.10 | 61.71 | 22.45 | |
| SupervisedLabels=1%2023.10 | 62.02 | 22.81 | |
| Pseudo LabelLabels=1%2023.10 | 62.72 | 23.07 | |
| II ModelLabels=1%2023.10 | 63.24 | 23.54 | |
| MeanTeacherLabels=1%2023.10 | 63.44 | 23.25 | |
| CRMatchLabels=1%2023.10 | 101.66 | 85.45 |