Image Classification on DomainNet feature shift (test)
27.86Accuracy (R=1)LSS
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LSSBackbone=ResNet-50, Pre-trained=ImageNet, Memory=4x2024.10 | 27.86 | 41.35 | |
| DiWABackbone=ResNet-50, Pre-trained=ImageNet2024.10 | 24.88 | 38.32 | |
| SoupsBackbone=ResNet-50, Pre-trained=ImageNet2024.10 | 22.75 | 38.02 | |
| SWABackbone=ResNet-50, Pre-trained=ImageNet2024.10 | 22.07 | 35.9 | |
| SWADBackbone=ResNet-50, Pre-trained=ImageNet2024.10 | 21.98 | 36.73 | |
| MOONBackbone=ResNet-50, Pre-trained=ImageNet2024.10 | 19.61 | 31.27 | |
| FedBABUBackbone=ResNet-50, Pre-trained=ImageNet2024.10 | 19.44 | 32.06 | |
| FedRepBackbone=ResNet-50, Pre-trained=ImageNet2024.10 | 18.89 | 30.42 | |
| FedAvgBackbone=ResNet-50, Pre-trained=ImageNet2024.10 | 18.76 | 29.43 | |
| FedBNBackbone=ResNet-50, Pre-trained=ImageNet2024.10 | 18.16 | 28.65 | |
| FedProxBackbone=ResNet-50, Pre-trained=ImageNet2024.10 | 17.27 | 27.18 | |
| FedFomoBackbone=ResNet-50, Pre-trained=ImageNet2024.10 | 15.1 | 25.69 |