[Retracted] Feature Learning-Based Generative Adversarial Network Data Augmentation for Class-Based Few-Shot Learning

Table 1

Random five samples classification accuracy and GQI.

Data sets	Accuracy (%)	GQI	LS
MNIST (full)	99.13	1	0.873
VAE	91.18	0.9199	0,471
CGAN	92.43	0.9325	0.637
DAGAN	92.57	0.9339	0.732
f-DAGAN	93.14	0.9396	0.739