基于改进图卷积神经网络的航空行李特征感知

邢志伟,朱书杰,李彪

Airline baggage feature perception based on improved graph convolutional neural network

Zhiwei XING,Shujie ZHU,Biao LI

表 3 不同模型的分类精度对比

Tab.3 Comparision of classification accuracy for different models

算法 方箱 硬箱 软箱 硬包 软包 异形 mAcc/% OA/% t/s PointNet 86.92 86.14 87.47 80.76 85.33 89.45 86.01 89.67 124.5 PointNet++ 88.61 88.27 89.94 82.75 88.03 91.31 88.15 91.25 267.3 DGCNN 90.56 92.73 94.43 84.67 87.26 94.68 90.72 93.06 192.4 PointVGG 91.23 93.52 94.48 87.54 89.73 94.81 91.89 94.18 216.7 GACP（本文方法） 93.72 95.64 96.39 91.16 92.53 98.66 94.68 96.32 283.2