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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