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ResearchFormerly WizWand

Open-set classification on CIFAR-100 50 / 50

68.15Balanced AccuracyDAC + GGR
47.963653.204358.44563.6857Jun 25, 2026
Updated 4mo ago

Evaluation results

MethodLinks
DAC + GGRNo. of labeled samples=25, Backbone=ResNet-182026.0668.15
DACNo. of labeled samples=25, Backbone=ResNet-182026.0668.1
DAC + GGRNo. of labeled samples=10, Backbone=ResNet-182026.0663.15
DACNo. of labeled samples=10, Backbone=ResNet-182026.0662.79
IOMatch + GGRNo. of labeled samples=25, Backbone=ResNet-182026.0660.18
IOMatchNo. of labeled samples=25, Backbone=ResNet-182026.0659.8
IOMatch + GGRNo. of labeled samples=10, Backbone=ResNet-182026.0654.87
DACNo. of labeled samples=5, Backbone=ResNet-182026.0654.65
IOMatchNo. of labeled samples=10, Backbone=ResNet-182026.0654.02
DAC + GGRNo. of labeled samples=5, Backbone=ResNet-182026.0653.77
IOMatch + GGRNo. of labeled samples=5, Backbone=ResNet-182026.0649.93
IOMatchNo. of labeled samples=5, Backbone=ResNet-182026.0648.74