基于竞争注意力融合的深度三维点云分类网络
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陈涵娟,达飞鹏,盖绍彦
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Deep 3D point cloud classification network based on competitive attention fusion
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Han-juan CHEN,Fei-peng DA,Shao-yan GAI
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| 表 1 在ModelNet40数据集上的平均分类精度 |
| Tab.1 Average classification accuracy on ModelNet40 dataset |
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| 方法 | 输入 | Nin/103 | Acc/% | | PointNet[4] | Pnt | 1 | 89.2 | | SO-Net[8] | Pnt,Noml | 2 | 90.9 | | PointNet++[5] | Pnt,Noml | 5 | 91.9 | | PointCNN[10] | Pnt | 1 | 92.2 | | Point2Sequence[12] | Pnt | 1 | 92.6 | | A-CNN[13] | Pnt,Noml | 1 | 92.6 | | PointASNL[21] | Pnt | 1 | 92.9(92.85) | | PointASNL[21] | Pnt,Noml | 1 | 93.2(93.15) | | 本研究 | Pnt | 1 | 92.9(92.88) | | 本研究 | Pnt,Noml | 1 | 93.2(93.19) |
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