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Table 4 Comparison of experimental data of CCNNet expanded models on 4 datasets

From: CCNNet: a novel lightweight convolutional neural network and its application in traditional Chinese medicine recognition

Model

Parameters/M

Flops/B

Top-1 accuracy

ImageNet (%)

cifar-10 (%)

cifar-100 (%)

TCM-100 (%)

CCNNet(1.0X)

1.4

0.36

70.1

90.8

77.6

86.8

CCNNet(1.5X)

2.1

0.46

73.2

91.9

79.4

87.3

CCNNet(2.0X)

3.1

0.55

75.1

93.8

80.1

89.2

CCNNet(3.0X)

5.4

0.74

76.3

94.7

81.6

92.5