A Full Stage Data Augmentation Method in Deep Convolutional Neural Network for Natural Image Classification

Table 5

Comparison with state-of-the-art algorithms on CIFAR-100.

Algorithms	CIFAR-100 (%)
Probout [42]	61.86
NIN + dropout [43]	64.32
Maxout + dropout [44]	61.43
Stochastic pooling [45]	57.49
Probabilistic weighted pooling [46]	62.87
Our method	70.22