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Conformal Prediction on Mini-ImageNet

4.28Number of SuperclassesClustered
1.58642.28572.9853.6843Nov 24, 2025

Evaluation results

MethodLinks
ClusteredBase Score Function=RAPS, Backbone=ResNet-50, alpha=0.12025.114.28
StandardBase Score Function=RAPS, Backbone=ResNet-50, alpha=0.12025.113.79
ClusteredBase Score Function=SAPS, Backbone=ResNet-50, alpha=0.12025.112.96
ClusteredBase Score Function=LAC, Backbone=ResNet-50, alpha=0.12025.112.18
StandardBase Score Function=SAPS, Backbone=ResNet-50, alpha=0.12025.112.16
MS-CSBase Score Function=RAPS, Backbone=ResNet-50, alpha=0.12025.112.05
MS-CSBase Score Function=SAPS, Backbone=ResNet-50, alpha=0.12025.111.95
StandardBase Score Function=LAC, Backbone=ResNet-50, alpha=0.12025.111.79
MS-CSBase Score Function=LAC, Backbone=ResNet-50, alpha=0.12025.111.69