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ResearchFormerly WizWand

Multi-label structural damage classification on xROAD 5-class setting 1.0 (test)

66.95AccuracyClustered-DRAPR
36.665244.527652.3960.2524Jun 2, 2026
Updated 5mo ago

Evaluation results

MethodLinks
Clustered-DRAPRNumber of Clusters (M)=3, Backbone=ResNet-182026.0666.9580.3874.0676.85
Clustered-DRAPRNumber of Clusters (M)=1 (no clustering), Backbone=ResNet-182026.0666.4477.2874.5875.61
SCAFFOLDNumber of Clusters (M)=2, Backbone=ResNet-182026.0664.0379.5671.6274.47
Clustered-DRAPRNumber of Clusters (M)=2, Backbone=ResNet-182026.0663.9580.6872.2375.95
SCAFFOLDNumber of Clusters (M)=3, Backbone=ResNet-182026.0663.6979.4471.2974.62
SCAFFOLDNumber of Clusters (M)=1 (no clustering), Backbone=ResNet-182026.0663.4379.8770.4874.13
FedAvgNumber of Clusters (M)=3, Backbone=ResNet-182026.0662.879.7769.9373.76
MOONNumber of Clusters (M)=3, Backbone=ResNet-182026.0662.7977.0275.2575.69
MOONNumber of Clusters (M)=2, Backbone=ResNet-182026.0662.7777.0674.775.46
IFCANumber of Clusters (M)=3, Backbone=ResNet-182026.0662.7779.270.9474.52
FedAvgNumber of Clusters (M)=2, Backbone=ResNet-182026.0662.7479.969.5373.58
IFCANumber of Clusters (M)=2, Backbone=ResNet-182026.0662.5679.3970.5874.34
FedProxNumber of Clusters (M)=3, Backbone=ResNet-182026.0662.5178.1971.5674.22
MOONNumber of Clusters (M)=1 (no clustering), Backbone=ResNet-182026.0662.5176.6275.2675.42
FedProxNumber of Clusters (M)=2, Backbone=ResNet-182026.0662.3578.7671.274.31
FedProxNumber of Clusters (M)=1 (no clustering), Backbone=ResNet-182026.0662.2279.2869.7573.49
FedAvgNumber of Clusters (M)=1 (no clustering), Backbone=ResNet-182026.0661.8979.8168.2372.53
LocalNumber of Clusters (M)=/, Backbone=ResNet-182026.0637.8364.7977.8770.7