Multi-label structural damage classification on xROAD 5-class setting 1.0 (test)
66.95AccuracyClustered-DRAPR
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| Clustered-DRAPRNumber of Clusters (M)=3, Backbone=ResNet-182026.06 | 66.95 | 80.38 | 74.06 | 76.85 | |
| Clustered-DRAPRNumber of Clusters (M)=1 (no clustering), Backbone=ResNet-182026.06 | 66.44 | 77.28 | 74.58 | 75.61 | |
| SCAFFOLDNumber of Clusters (M)=2, Backbone=ResNet-182026.06 | 64.03 | 79.56 | 71.62 | 74.47 | |
| Clustered-DRAPRNumber of Clusters (M)=2, Backbone=ResNet-182026.06 | 63.95 | 80.68 | 72.23 | 75.95 | |
| SCAFFOLDNumber of Clusters (M)=3, Backbone=ResNet-182026.06 | 63.69 | 79.44 | 71.29 | 74.62 | |
| SCAFFOLDNumber of Clusters (M)=1 (no clustering), Backbone=ResNet-182026.06 | 63.43 | 79.87 | 70.48 | 74.13 | |
| FedAvgNumber of Clusters (M)=3, Backbone=ResNet-182026.06 | 62.8 | 79.77 | 69.93 | 73.76 | |
| MOONNumber of Clusters (M)=3, Backbone=ResNet-182026.06 | 62.79 | 77.02 | 75.25 | 75.69 | |
| MOONNumber of Clusters (M)=2, Backbone=ResNet-182026.06 | 62.77 | 77.06 | 74.7 | 75.46 | |
| IFCANumber of Clusters (M)=3, Backbone=ResNet-182026.06 | 62.77 | 79.2 | 70.94 | 74.52 | |
| FedAvgNumber of Clusters (M)=2, Backbone=ResNet-182026.06 | 62.74 | 79.9 | 69.53 | 73.58 | |
| IFCANumber of Clusters (M)=2, Backbone=ResNet-182026.06 | 62.56 | 79.39 | 70.58 | 74.34 | |
| FedProxNumber of Clusters (M)=3, Backbone=ResNet-182026.06 | 62.51 | 78.19 | 71.56 | 74.22 | |
| MOONNumber of Clusters (M)=1 (no clustering), Backbone=ResNet-182026.06 | 62.51 | 76.62 | 75.26 | 75.42 | |
| FedProxNumber of Clusters (M)=2, Backbone=ResNet-182026.06 | 62.35 | 78.76 | 71.2 | 74.31 | |
| FedProxNumber of Clusters (M)=1 (no clustering), Backbone=ResNet-182026.06 | 62.22 | 79.28 | 69.75 | 73.49 | |
| FedAvgNumber of Clusters (M)=1 (no clustering), Backbone=ResNet-182026.06 | 61.89 | 79.81 | 68.23 | 72.53 | |
| LocalNumber of Clusters (M)=/, Backbone=ResNet-182026.06 | 37.83 | 64.79 | 77.87 | 70.7 |