Table 1 Description of the layers in the HCNN.
RoleLayerTypeNumber of feature mapsSpatial sizeKernel size
Feature extraction0Input image3224 × 224
1Convolutional32224 × 2449 × 9
2Max-pooling32224 × 2442 × 2
3Convolutional48112 × 1129 × 9
4Max-pooling48112 × 1122 × 2
5Convolutional9656 × 567 × 7
6Max-pooling9656 × 562 × 2
7Convolutional19228 × 285 × 5
8Max-pooling19228 × 282 × 2
9Convolutional38414 × 145 × 5
10Max-pooling38414 × 142 × 2
11Convolutional7687 × 75 × 5
12Convolutional7687 × 75 × 5
13Convolutional7687 × 75 × 5
Classification14Average-pooling7681 × 17 × 7
15Softmax classifier10001 × 11 × 1