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Closed-set Classification on CIFAR-10 (6 4)

93.64AccuracyIOMatch + GGR
24.043242.111660.1878.2484Jun 25, 2026

Evaluation results

MethodLinks
IOMatch + GGRNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=6 / 42026.0693.64
IOMatchNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=6 / 42026.0693.61
FixMatchNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=6 / 42026.0693.47
DAC + GGRNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=6 / 42026.0693.25
DACNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=6 / 42026.0693.02
CoMatchNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=6 / 42026.0692.78
IOMatch + GGRNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=6 / 42026.0692.62
DAC + GGRNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=6 / 42026.0692.56
IOMatch + GGRNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=6 / 42026.0691.87
DACNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=6 / 42026.0691.66
UAGregNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=6 / 42026.0691.48
IOMatchNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=6 / 42026.0691.16
FixMatchNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=6 / 42026.0690.74
SimMatchNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=6 / 42026.0690.74
IOMatchNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=6 / 42026.0689.87
CoMatchNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=6 / 42026.0689.86
DAC + GGRNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=6 / 42026.0687.63
UAGregNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=6 / 42026.0687.11
DACNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=6 / 42026.0686.69
SoftMatchNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=6 / 42026.0686.45
SimMatchNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=6 / 42026.0686.31
UAGregNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=6 / 42026.0685.78
CoMatchNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=6 / 42026.0684.83
FixMatchNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=6 / 42026.0683.65
SoftMatchNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=6 / 42026.0683.18
Safe-StuNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=6 / 42026.0682.27
SoftMatchNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=6 / 42026.0680.51
SimMatchNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=6 / 42026.0679.3
OpenMatch + GGRNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=6 / 42026.0665.23
OpenMatchNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=6 / 42026.0664.73
Safe-StuNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=6 / 42026.0661.21
MixMatchNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=6 / 42026.0658.24
MTCFNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=6 / 42026.0656.04
OpenMatch + GGRNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=6 / 42026.0652.75
OpenMatchNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=6 / 42026.0651.21
Safe-StuNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=6 / 42026.0650.16
OpenMatch + GGRNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=6 / 42026.0647.38
OpenMatchNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=6 / 42026.0647.26
MTCFNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=6 / 42026.0645.62
MixMatchNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=6 / 42026.0644.27
MTCFNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=6 / 42026.0640.66
Fully SupervisedNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=6 / 42026.0638.33
MixMatchNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=6 / 42026.0637.95
Fully SupervisedNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=6 / 42026.0629.3
Fully SupervisedNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=6 / 42026.0626.72