Table 1 The proposed body architecture
From: An multi-scale learning network with depthwise separable convolutions
Layers | Out size | K size | Stride | N | Out channels | |
|---|---|---|---|---|---|---|
Method 1 | Method 2 | |||||
Input | 32 × 32 |  |  |  |  | |
Unit 1 | 16 × 16 | 3 × 3, 1 × 1 | 1 | 32 | 32 | 64 |
Unit 2 | 8 × 8 | 3 × 3, 1 × 1 | 1 | 64 | 64 | 128 |
Unit 3 | 4 × 4 | 3 × 3, 1 × 1 | 1 | 128 | 128 | 256 |
Fc1 | 384 | |||||
Fc2 | 192 | |||||