Table 1 Adaptability improvement of the PrimaryCaps layer
From: Dynasty recognition algorithm of an adaptive enhancement capsule network for ancient mural images
Parameter | CapsNet | AEC |
|---|---|---|
Input feature map | 20 × 20 × 1 | 28 × 28 × 256 |
Number of convolution kernels | 256 | 256 |
Kernel size | 9 × 9 × 1 | 3 × 3 × 256 |
Step of convolution movement | 2 | 2 |
Size of the output feature map | 6 × 6 × 256 | 14 × 14 × 256 |
Number of the output features | 9216 | 50,176 |
Number of the sealed capsules | 1152 | 6272 |
Size of the sealed capsules | 8 × 1 | 8 × 1 |