基于卷积姿态机的潜航员作业姿态识别方法
王憬鸾,陈登凯,朱梦雅,王晗宇,孙意为

Recognition method of submarine operation posture based on convolutional pose machine
Jing-luan WANG,Deng-kai CHEN,Meng-ya ZHU,Han-yu WANG,Yi-wei SUN
表 4 算法g2-1与g2-2卷积组的参数
Tab.4 Parameters of algorithm g2-1 andg2-2 convolution group
序号 输入 运算 参数 输出
1 原始图像 — — 368×368×3
2 368×368×3 Conv.+ReLU k = 9, n = 128, s = 1 368×368×128
3 368×368×128 max_pool 2×2, s = 2 184×184×128
4 184×184×128 Conv.+ReLU k = 9, n = 128, s = 1 184×184×128
5 184×184×128 max_pool 2×2, s = 2 92×92×128
6 92×92×128 Conv.+ReLU k = 9, n = 128, s = 1 92×92×128
7 92×92×128 max_pool 2×2, s = 2 46×46×128
8 46×46×128 Conv.+ReLU k = 5, n = 32, s = 1 46×46×32
9 46×46×32+
46×46×15+
46×46×1 		Concat ( ) — 46×46×48
10 46×46×48 Conv.+ReLU k = 11, n = 128, s = 1 46×46×128
11 46×46×128 Conv.+ReLU k = 11, n = 128, s = 1 46×46×128
12 46×46×128 Conv.+ReLU k = 11, n = 128, s = 1 46×46×128
13 46×46×128 Conv.+ReLU k = 1, n = 128, s = 1 46×46×128
14 46×46×128 Conv.+ReLU k = 1, n = 15, s = 1 46×46×15