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Table 3 Comparison to some baseline models on ImageNet-1 k, CIFAR-10 and CIFAR-100

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

Model

Parameters/M

Flops/B

Top-1 acc

ImageNet (%)

cifar-10 (%)

cifar-100 (%)

MobileNetV3small

2.5

0.3

67.4

89.6

74.2

Shuffle NetV2 0.5X

1.4

0.15

61.1

88.9

71.4

GhostNet 0.5X

2.6

0.14

66.2

89.8

74.1

MobileNeXt 0.5X

1.8

0.3

67.7

89.9

75.2

MobileVit-XXS

1.3

0.7

69.0

90.2

76.3

CCNNet(Ours)

1.4

0.36

70.1

90.8

77.6