Table 10 Generator and discriminator loss stability.

From: Novel dual gland GAN architecture improves human protein localization classification using salivary and pituitary gland inspired loss functions

Architecture

Gen loss variance (↓)

Disc loss variance (↓)

Convergence time (epochs) (↓)

Dual-Gland GAN (Ours)

0.028

0.032

78

Traditional GAN42

0.573

0.492

250 + 

DCGAN34

0.186

0.214

187

WGAN43

0.074

0.085

132

Pix2Pix GAN44

0.092

0.107

150

Conditional GAN45

0.113

0.126

165

CycleGAN46

0.089

0.103

145

GSIP-GAN40

0.052

0.067

112

ECP-IGANN37

0.041

0.048

95

MCI-GAN38

0.063

0.075

124