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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