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Journal of Big Data

Table 1 Comparison of downsampling layer in classical model

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

Model

Stemlayer Kernelsize

Downsample rate(stride)

Output Feature map size

Stages

Channels

AlexNet

conv11 × 11

4

56 × 56

4

96

GoogleNet

conv7 × 7

2

112 × 112

4

64

ResNet

conv7 × 7

4

56 × 56

4

64

VGGNet

conv3 × 3

1

224 × 224

4

64

ConvNeXt

conv4 × 4

4

56 × 56

4

96

ShuffleNetV2

conv3 × 3

4

56 × 56

3

24

GhostNet

conv3 × 3

2

112 × 112

4

16

EfficientNet

conv3 × 3

2

112 × 112

4

32

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