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Table 1 VGGNet model

From: Mural classification model based on high- and low-level vision fusion

Layer

Size

Filter

Stride

Dropout

Input

224 × 224 × 3

   

Conv1

224 × 224 × 64

3 × 3 × 64 × 2

1

 

MaxPool1

112 × 112 × 64

2 × 2

2

 

Conv2

112 × 112 × 128

3 × 3 × 128 × 2

1

 

MaxPool2

56 × 56 × 128

2 × 2

2

 

Conv3

56 × 56 × 256

3 × 3 × 256 × 3

1

 

MaxPool3

28 × 28 × 256

2 × 2

2

 

Conv4

28 × 28 × 512

3 × 3 × 512 × 3

1

 

MaxPool4

14 × 14 × 512

2 × 2

2

 

Conv5

14 × 14 × 512

3 × 3 × 512 × 3

1

 

MaxPool5

7 × 7 × 512

2 × 2

2

 

Fc6

4096

  

0.5

Fc7

4096

  

0.5

Softmax

1000

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