基于改进Mobilenet-YOLOv3的轻量级水下生物检测算法

郝琨,王阔,王贝贝

Lightweight underwater biological detection algorithm based on improved Mobilenet-YOLOv3

Kun HAO,Kuo WANG,Bei-bei WANG

表 1 CPM-YOLOv3特征提取网络结构

Tab.1 CPM-YOLOv3 feature extraction network structure

输入 模块 卷积核数 输出 CBAM 激活函数 步幅 4162×3 conv2d,3×3 − 16 − HS 2 2082×16 bneck,3×3 16 16 − RE 1 2082×16 bneck,3×3 64 24 − RE 2 1042×24 bneck,3×3 72 24 − RE 1 1042×24 bneck,5×5 72 40 √ RE 2 522×40 bneck,5×5 120 40 √ RE 1 522×40 bneck,5×5 120 40 √ RE 1 522×40 bneck,3×3 240 73 − HS 2 262×73 bneck,3×3 200 73 − HS 1 262×73 bneck,3×3 184 73 − HS 1 262×73 bneck,3×3 184 73 − HS 1 262×73 bneck,3×3 480 89 √ HS 1 262×89 bneck,3×3 672 89 √ HS 1 262×89 bneck,5×5 672 43 √ HS 2 132×43 bneck,5×5 960 43 √ HS 1 132×43 bneck,5×5 960 43 √ HS 1 132×43 conv2d,1×1 − 14 − HS 1