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Benchmarks
Misclassification Detection on CIFAR-10-C 1.0 (test)
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90.38
AUROC
OpenMix
79.5016
82.3258
85.15
87.9742
Mar 30, 2023
AUROC
AURC
FPR@95
Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
AUROC
AURC
FPR@95
Accuracy
OpenMix
Backbone=WRN
2023.03
90.38
27.78
48.07
88.33
CRL
Backbone=WRN
2023.03
85.86
100.27
62.86
76.24
OpenMix
Backbone=DenseNet
2023.03
85.62
71.86
60.65
81.38
OpenMix
Backbone=ResNet
2023.03
84.98
65.51
62.11
82.03
CRL
Backbone=DenseNet
2023.03
83.86
135.46
66.93
71.82
MSP
Backbone=WRN
2023.03
83.34
120.36
64.48
75.57
CRL
Backbone=ResNet
2023.03
82.57
143.19
68.26
71.19
MSP
Backbone=DenseNet
2023.03
81.82
154.72
68.56
71.08
MSP
Backbone=ResNet
2023.03
79.92
154.58
70.23
72.27
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