Table 2.
The proposed CNN configuration used in our research.
| Layer Type | Number of Filter | Size of Feature Map | Size of Kernel | Number of Stride | Number of Padding | |
|---|---|---|---|---|---|---|
| Image input layer | 224 (height) × 224 (width) × 3 (channel) | |||||
| Group 1 | Conv1_1 (1st convolutional layer) | 64 | 224 × 224 × 64 | 3 × 3 | 1 × 1 | 1 × 1 |
| Relu1_1 | 224 × 224 × 64 | |||||
| Conv1_2 (2nd convolutional layer) | 64 | 224 × 224 × 64 | 3 × 3 | 1 × 1 | 1 × 1 | |
| Relu1_2 | 224 × 224 × 64 | |||||
| Pool1 | 1 | 112 × 112 × 64 | 2 × 2 | 2 × 2 | 0 × 0 | |
| Group 2 | Conv2_1 (3rd convolutional layer) | 128 | 112 × 112 × 128 | 3 × 3 | 1 × 1 | 1 × 1 |
| Relu2_1 | 112 × 112 × 128 | |||||
| Conv2_2 (4th convolutional layer) | 128 | 112 × 112 × 128 | 3 × 3 | 1 × 1 | 1 × 1 | |
| Relu2_2 | 112 × 112 × 128 | |||||
| Pool2 | 1 | 56 × 56 × 128 | 2 × 2 | 2 × 2 | 0 × 0 | |
| Group 3 | Conv3_1 (5th convolutional layer) | 256 | 56 × 56 × 256 | 3 × 3 | 1 × 1 | 1 × 1 |
| Relu3_1 | 56 × 56 × 256 | |||||
| Conv3_2 (6th convolutional layer) | 256 | 56 × 56 × 256 | 3 × 3 | 1×1 | 1 × 1 | |
| Relu3_2 | 56 × 56 × 256 | |||||
| Conv3_3 (7th convolutional layer) | 256 | 56 × 56 × 256 | 3 × 3 | 1 × 1 | 1 × 1 | |
| Relu3_3 | 56 × 56 × 256 | |||||
| Pool3 | 1 | 28 × 28 × 256 | 2 × 2 | 2 × 2 | 0 × 0 | |
| Group 4 | Conv4_1 (8th convolutional layer) | 512 | 28 × 28 × 512 | 3 × 3 | 1 × 1 | 1 × 1 |
| Relu4_1 | 28 × 28 × 512 | |||||
| Conv4_2 (9th convolutional layer) | 512 | 28 × 28 × 512 | 3 × 3 | 1 × 1 | 1 × 1 | |
| Relu4_2 | 28 × 28 × 512 | |||||
| Conv4_3 (10th convolutional layer) | 512 | 28 × 28 × 512 | 3 × 3 | 1 × 1 | 1 × 1 | |
| Relu4_3 | 28 × 28 × 512 | |||||
| Pool4 | 1 | 14 × 14 × 512 | 2 × 2 | 2 × 2 | 0 × 0 | |
| Group 5 | Conv5_1 (11th convolutional layer) | 512 | 14 × 14 × 512 | 3 × 3 | 1 × 1 | 1 × 1 |
| Relu5_1 | 14 × 14 × 512 | |||||
| Conv5_2 (12th convolutional layer) | 512 | 14 × 14 × 512 | 3 × 3 | 1 × 1 | 1 × 1 | |
| Relu5_2 | 14 × 14 × 512 | |||||
| Conv5_3 (13th convolutional layer) | 512 | 14 × 14 × 512 | 3 × 3 | 1 × 1 | 1 × 1 | |
| Relu5_3 | 14 × 14 × 512 | |||||
| Pool5 | 1 | 7 × 7 × 512 | 2 × 2 | 2 × 2 | 0 × 0 | |
| Fc6 (1st FCL) | 4096 × 1 | |||||
| Relu6 | 4096 × 1 | |||||
| Dropout6 | 4096 × 1 | |||||
| Fc7 (2nd FCL) | 4096 × 1 | |||||
| Relu7 | 4096 × 1 | |||||
| Dropout7 | 4096 × 1 | |||||
| Fc8 (3rd FCL) | 2 × 1 | |||||
| Softmax layer | 2 × 1 | |||||
| Output layer | 2 × 1 | |||||