Layer name | c | s | t | Output size |
Conv2D 1 (3 × 3) | 16 | 2 |
| 56 × 56 × 16 |
Bottleneck_M1 | 16 | 1 | 1 | 56 × 56 × 16 |
Bottleneck_M2 | 24 | 2 | 5 | 28 × 28 × 24 |
Bottleneck_M3 | 24 | 1 | 5 | 28 × 28 × 24 |
Bottleneck_M3_1 | 32 | 1 | 5 | 28 × 28 × 32 |
Bottleneck_M3_2 | 32 | 1 | 5 | 28 × 28 × 32 |
Feature selection module 1 |
|
|
| 32 |
Bottleneck_M4 | 32 | 2 | 5 | 14 × 14 × 32 |
Bottleneck_M5 | 32 | 1 | 5 | 14 × 14 × 32 |
Feature selection module 2 |
|
|
| 32 |
Bottleneck_M6 | 40 | 1 | 5 | 14 × 14 × 40 |
Bottleneck_M7 | 40 | 1 | 5 | 14 × 14 × 40 |
Feature selection module 3 |
|
|
| 40 |
Bottleneck_M8 | 40 | 1 | 5 | 14 × 14 × 40 |
Bottleneck_M9 | 48 | 2 | 5 | 7 × 7 × 48 |
Bottleneck_M10 | 64 | 1 | 5 | 7 × 7 × 64 |
Conv2D 2 (1 × 1) | 64 | 1 |
| 7 × 7 × 64 |
Global average pooling |
|
|
| 64 |
Concat |
|
|
| 168 |
Reshape 1 |
|
|
| 1 × 1 × 168 |
Dropout |
|
|
| 1 × 1 × 168 |
Conv2D 3 (1 × 1) | k |
|
| 1 × 1 × k |
Softmax |
|
|
| 1 × 1 × k |
Reshape 2 |
|
|
| k |