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Table 3 Performance results of the experiment with feature vs. input space extrapolation on MNIST and CIFAR-10 [75]

From: A survey on Image Data Augmentation for Deep Learning

Model MNIST CIFAR-10
Baseline 1.093 ± 0.057 30.65 ± 0.27
Baseline + input space affine transformations 1.477 ± 0.068
Baseline + input space extrapolation 1.010 ± 0.065
Baseline + feature space extrapolation 0.950 ± 0.036 29.24 ± 0.27
  1. The italic value denote high performance according to the comparative metrics