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Table 1 Classification accuracy on the downstream tasks

From: Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations

 

GAN-DL

Baseline[28] (%)

ImageNet-collapsed (%)

ImageNet-concatenated (%)

ConvAE (%)

\(C^+\) versus \(C^-\)

91.4

95.81

65.31

79.61

64.50

HRCE versus VERO

100.0

100.0

85.52

100.0

99.80

\(C^+\) versus \(C^-\) (HRCE only)

92.44

99.28

84.09

90.24

68.41

\(C^+\) versus \(C^-\) (VERO only)

99.93

100

84.53

99.8

82.89