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Table 1 Recognition rates of the proposed and the related shallow networks

From: A semi-supervised convolutional neural network based on subspace representation for image classification

 

CIFAR-10 [73]

LFW [74]

NYU Depth V1 [75]

ETH-80 [76]

FERET [77]

Learning paradigm

PCANet [41]

78.67

85.20

79.58

93.96

97.25

Unsupervised

DCTNet [48]

73.29

85.33

75.17

89.35

97.32

Unsupervised

CCANet [54]

79.11

84.27

77.05

94.33

94.83

Unsupervised

CFR-ELM [62]

80.24

N.A.

N.A.

95.63

N.A.

Unsupervised

LDANet [41]

78.33

84.89

76.85

93.87

97.18

Supervised

DCCNet [58]

80.68

84.91

77.33

91.21

94.73

Supervised

OSNet [61]

78.81

83.69

76.59

94.06

93.07

Supervised

CKNet [63]

80.60

83.67

77.21

94.22

93.56

Supervised

DFSNet-1

80.77

84.96

80.31

94.23

96.96

Semi- supervised

DFSNet-2

80.97

85.29

80.53

94.43

97.28

Semi- supervised

DFSNet-3

81.06

85.45

80.61

94.52

97.47

Semi- supervised

DFSNet-4

81.20

85.55

80.68

94.66

97.54

Semi- supervised

  1. N.A. not available