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Table 3 ConfidNet comparison on validation and training dataset

From: Ramifications of incorrect image segmentations; emphasizing on the potential effects on deep learning methods failure

AUPR-Error (%)

MNIST (MLP)

MNIST SmallConvNet

SVHN

CIFAR-10

CIFAR-100

CamVid

ConfidNet (Train set)

52.25

48.20

41.32

45.80

35.33

80.95

ConfidNet (validation set)

50.58

59.34

77.15

90.09

31.03

63.00