Domain-Incremental Learning on DomainNet 6-split
29.64AccuracyFedProTIP (-t)
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| FedProTIP (-t)Data Heterogeneity (Dirichlet α)=IID, Inference Protocol=Task-agnostic inference2025.09 | 29.64 | 6.38 | |
| FedProTIP (-t)Data Heterogeneity (Dirichlet α)=α = 0.5, Inference Protocol=Task-agnostic inference2025.09 | 28.85 | 6.43 | |
| FedProTIP (-t)Data Heterogeneity (Dirichlet α)=α = 0.2, Inference Protocol=Task-agnostic inference2025.09 | 28.74 | 6.14 | |
| FedProTIPData Heterogeneity (Dirichlet α)=IID, Inference Protocol=Task-agnostic inference2025.09 | 27.6 | 2.89 | |
| FedProTIPData Heterogeneity (Dirichlet α)=α = 0.2, Inference Protocol=Task-agnostic inference2025.09 | 25.98 | 2.88 | |
| FedProTIPData Heterogeneity (Dirichlet α)=α = 0.5, Inference Protocol=Task-agnostic inference2025.09 | 25.3 | 3.76 | |
| FOTData Heterogeneity (Dirichlet α)=IID, Inference Protocol=Task-agnostic inference2025.09 | 24.59 | 8.85 | |
| FOTData Heterogeneity (Dirichlet α)=α = 0.5, Inference Protocol=Task-agnostic inference2025.09 | 24.13 | 8.44 | |
| FOTData Heterogeneity (Dirichlet α)=α = 0.2, Inference Protocol=Task-agnostic inference2025.09 | 23.84 | 8.33 | |
| LANDERData Heterogeneity (Dirichlet α)=α = 0.2, Inference Protocol=Task-agnostic inference2025.09 | 22.11 | 8.59 | |
| LANDERData Heterogeneity (Dirichlet α)=IID, Inference Protocol=Task-agnostic inference2025.09 | 21.88 | 8.9 | |
| LANDERData Heterogeneity (Dirichlet α)=α = 0.5, Inference Protocol=Task-agnostic inference2025.09 | 21.59 | 10.27 | |
| TARGETData Heterogeneity (Dirichlet α)=IID, Inference Protocol=Task-agnostic inference2025.09 | 21.53 | 9.73 | |
| TARGETData Heterogeneity (Dirichlet α)=α = 0.2, Inference Protocol=Task-agnostic inference2025.09 | 20.64 | 8.31 | |
| TARGETData Heterogeneity (Dirichlet α)=α = 0.5, Inference Protocol=Task-agnostic inference2025.09 | 20.61 | 7.89 | |
| FedAvgData Heterogeneity (Dirichlet α)=IID, Inference Protocol=Task-agnostic inference2025.09 | 10.79 | 27.74 | |
| FedAvgData Heterogeneity (Dirichlet α)=α = 0.5, Inference Protocol=Task-agnostic inference2025.09 | 10.72 | 25.66 | |
| FedAvgData Heterogeneity (Dirichlet α)=α = 0.2, Inference Protocol=Task-agnostic inference2025.09 | 10.53 | 25.57 |