Table A.1
Characteristics of each layer of the CNN architecture.
| Layers | Inputs | Kernel size | h × w | #Feature maps |
|---|---|---|---|---|
| P1, P2 | LCI | 5 × 1, 11 × 1 (stride 2) | 850 × 5 | 1, 1 |
| TC1, TC2, TC3 | P1 | 11 × 1, 21 × 1, 41 × 1 | 850 × 5 | 16 16, 16 |
| TC4, TC5, TC6 | P2 | 11 × 1, 21 × 1, 41 × 1 | 850 × 5 | 16, 16, 16 |
| MC1 | C1 | 1 × 5 | 850 × 1 | 96 |
| TC7, TC8 | MC1 and C1 | 11 × 1, 21 × 1 | 850 × 5 or 850 × 1 | 24, 24 |
| P3 | C2 | 3 × 1 (stride 2) | 425 × 1 | 48 |
| P4 | C3 | 3 × 1 (stride 2) | 425 × 5 | 48 |
| P5 | LCI | 21 × 1 (stride 4) | 425 × 5 | 1 |
| TC9, TC10, TC11 | P5 | 5 × 1, 11 × 1, 21 × 1 | 425 × 5 | 16, 16, 16 |
| TC12, TC13 | C4 | 11 × 1, 21 × 1 | 425 × 5 | 24, 24 |
| MC2 | C5 | 1 × 5 | 425 × 1 | 48 |
| TC14 | C6 and C7 | 11 × 1 | 425 × 1 or 425 × 5 | 96, 96 |
| P6 | TC14 | 3 × 1 (stride 2) | 212 × 1 | 96 |
| P7 | TC14 | 3 × 1 (stride 2) | 212 × 5 | 96 |
| TC15 | P6 and P7 | 11 × 1 | 425 × 1 or 425 × 5 | 48, 48 |
| P8 | TC15 | 3 × 1 (stride 2) | 106 × 1 | 48 |
| P9 | TC15 | 3 × 1 (stride 2) | 106 × 5 | 48 |
| P10 | LCI | 41 × 1 (stride 16) | 106 × 5 | 1 |
| TC16, TC17, TC18 | P10 | 5 × 1, 11 × 1, 21 × 1 | 106 × 5 | 16, 16, 16 |
| TC19 | C8 | 11 × 1 | 106 × 5 | 48 |
| MC3 | TC19 | 1 × 5 | 106 × 1 | 48 |
| TC20 | C9 and C10 | 11 × 1 | 106 × 1 or 106 × 5 | 128, 128 |
| P11 | TC20 | 3 × 1 (stride 2) | 53 × 1 | 48 |
| P12 | TC20 | 3 × 1 (stride 2) | 53 × 5 | 48 |
| P13 | LCI | 61 × 1 (stride 32) | 53 × 5 | 1 |
| TC21, TC22, TC23 | P13 | 5 × 1, 11 × 1, 21 × 1 | 53 × 5 | 16, 16, 16 |
| TC24 | C11 | 11 × 1 | 53 × 5 | 64 |
| TC25, TC26 | C12 | 11 × 1, 21 × 1 | 53 × 5 | 64, 64 |
| MC4 | C13 | 1 × 5 | 53 × 1 | 64 |
| TC27, TC28, TC29, TC30 | c rowspan="0" c>0 * [0pt]C14 | c rowspan="0" c>0 * [0pt]5 × 1, 11 × 1, 21 × 1, 41 × 1 | c rowspan="0" c>0 * [0pt]53 × 1 | c rowspan="0" c>0 * [0pt]48, 48, 48, 48 |
| FC1, FC2 | C15, FC1 | – | – | 1024, 1024 |
Notes. The table lists: the name of the layer, the input layer, the size of the convolution kernel (in pixels), the size in pixels (height × width) of resulting feature maps and the number of resulting feature maps. The concatenation layers are not represented here but they are present in Fig. 4.
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