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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