基于竞争注意力融合的深度三维点云分类网络

陈涵娟,达飞鹏,盖绍彦

Deep 3D point cloud classification network based on competitive attention fusion

Han-juan CHEN,Fei-peng DA,Shao-yan GAI

表 3 在ShapeNetPart数据集上的零件分割性能

Tab.3 Part segmentation performance on ShapeNetPart dataset %

方法 mIoU IoU areo bag cap car chair ear phone guitar knife lamp laptop motor mug pistol rocket skate board table PointNet[4] 83.7 83.4 78.7 82.5 74.9 89.6 73.0 91.5 85.9 80.8 95.3 65.2 93.0 81.2 57.9 72.8 80.6 SO-Net[8] 84.9 82.8 77.8 88.0 77.3 90.6 73.5 90.7 83.9 82.8 94.8 69.1 94.2 80.9 53.1 72.9 83.0 PointNet++[5] 85.1 82.4 79.0 87.7 77.3 90.8 71.8 91.0 85.9 83.7 95.3 71.6 94.1 81.3 58.7 76.4 82.6 P2Sequence[12] 85.2 82.6 81.8 87.5 77.3 90.8 77.1 91.1 86.9 83.9 95.7 70.8 94.6 79.3 58.1 75.2 82.8 PointCNN[10] 86.1 84.1 86.5 86.0 80.8 90.6 79.7 92.3 88.4 85.3 96.1 77.2 95.2 84.2 64.2 80.0 83.0 PointASNL[21] 86.1 84.1 84.7 87.9 79.7 92.2 73.7 91.0 87.2 84.2 95.8 74.4 95.2 81.0 63.0 76.3 83.2 本研究 85.9 84.2 83.2 87.4 79.2 91.9 74.3 91.5 86.4 84.3 95.7 73.7 95.4 82.6 62.4 75.0 82.7