Research Article
Little-YOLOv4: A Lightweight Pedestrian Detection Network Based on YOLOv4 and GhostNet
Table 1
GhostNet construction method diagram (reproduced from Hongtao Zheng and Yan Liu in 2022 from document [
31]).
| Input | Operator | #exp | Out | SE | Stride |
| | Conv2d | — | 16 | — | 2 | | G-bneck | 16 | 16 | — | 1 | | G-bneck | 48 | 24 | — | 2 | | G-bneck | 72 | 24 | — | 1 | | G-bneck | 72 | 40 | 1 | 2 | | G-bneck | 120 | 40 | 1 | 1 | | G-bneck | 240 | 80 | — | 2 | | G-bneck | 200 | 80 | — | 1 | | G-bneck | 184 | 80 | — | 1 | | G-bneck | 184 | 80 | — | 1 | | G-bneck | 480 | 112 | 1 | 1 | | G-bneck | 672 | 112 | 1 | 1 | | G-bneck | 672 | 160 | 1 | 2 | | G-bneck | 960 | 160 | — | 1 | | G-bneck | 960 | 160 | 1 | 1 | | G-bneck | 960 | 160 | — | 1 | | G-bneck | 960 | 160 | 1 | 1 | | Conv2d | — | 960 | — | 1 | | AvgPool | — | — | — | — | | Conv2d | — | 1280 | — | 1 | | FC | — | 1000 | — | — |
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