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. 2023 Sep 25;9:e1595. doi: 10.7717/peerj-cs.1595

Table 1. MobileNet-RepMLP network structure.

Input Operator t c n s
3 × 224 × 224 Conv2d 3 × 3 32 1 2
32 × 112 × 112 Bottleneck1 1 16 1 1
16 × 112 × 112 Bottleneck2 6 24 2 2
24 × 56 × 56 Bottleneck3 6 32 3 2
32 × 28 × 28 Bottleneck4 6 64 4 2
64 × 14 × 14 Bottleneck_RepMLP1 1/4 96 3 1
96 × 14 × 14 Bottleneck_RepMLP2 1/4 160 3 1
160 × 7 × 7 Bottleneck_RepMLP3 1/4 320 1 1
320 × 7 × 7 Conv2d 1 × 1 1,280 1 1
1,280 × 7 × 7 Avgpool 7 × 7 1