paper-with-me

3D Point Cloud Classification 벤치마크

3D Point Cloud Classification on IntrA

36개 결과 · ⬇ CSV · JSON

F1 score (5-fold)

0.684 0.747 0.81 0.873 0.936 2016-12 2026-11 PointNet — 0.684 (2016-12-02) PointNet — 0.684 (2016-12-02) PointNet — 0.684 (2016-12-02) PointNet++ — 0.903 (2017-06-07) PointNet++ — 0.903 (2017-06-07) PointNet++ — 0.903 (2017-06-07) DGCNN — 0.738 (2018-01-24) DGCNN — 0.738 (2018-01-24) DGCNN — 0.738 (2018-01-24) SO-Net — 0.868 (2018-03-12) SO-Net — 0.868 (2018-03-12) SO-Net — 0.868 (2018-03-12) SpiderCNN — 0.872 (2018-03-30) SpiderCNN — 0.872 (2018-03-30) SpiderCNN — 0.872 (2018-03-30) PointConv — 0.883 (2018-11-17) PointConv — 0.883 (2018-11-17) PointConv — 0.883 (2018-11-17) PointCNN — 0.875 (2018-12-01) PointCNN — 0.875 (2018-12-01) PointCNN — 0.875 (2018-12-01) GS-Net — 0.872 (2019-12-23) GS-Net — 0.872 (2019-12-23) GS-Net — 0.872 (2019-12-23) PCT — 0.914 (2020-12-17) PCT — 0.914 (2020-12-17) PCT — 0.914 (2020-12-17) PAConv — 0.906 (2021-03-26) PAConv — 0.906 (2021-03-26) PAConv — 0.906 (2021-03-26) AdaptConv — 0.858 (2021-08-18) AdaptConv — 0.858 (2021-08-18) AdaptConv — 0.858 (2021-08-18) 3DMedPT — 0.936 (2021-12-09) 3DMedPT — 0.936 (2021-12-09) 3DMedPT — 0.936 (2021-12-09) PointNet — 0.684 (2016-12-02) PointNet++ — 0.903 (2017-06-07) PCT — 0.914 (2020-12-17) 3DMedPT — 0.936 (2021-12-09)
RankModel F1 score (5-fold) PaperCodeYear
1 3DMedPT 0.936 3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis crane-papercode/3dmedpt 2021
2 PCT 0.914 PCT: Point cloud transformer qq456cvb/Point-Transformers · MenghaoGuo/PCT · Strawberry-Eat-Mango/PCT_Pytorch · +8 2020
3 PAConv 0.906 PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds PaddlePaddle/Paddle3D · CVMI-Lab/PAConv 2021
4 PointNet++ 0.903 PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space yanx27/Pointnet_Pointnet2_pytorch · charlesq34/pointnet2 · facebookresearch/votenet · +65 2017
5 PointConv 0.883 PointConv: Deep Convolutional Networks on 3D Point Clouds vinits5/learning3d · DylanWusee/pointconv · DylanWusee/pointconv_pytorch · +6 2018
6 PointCNN 0.875 PointCNN: Convolution On X-Transformed Points yangyanli/PointCNN 2018
7 SpiderCNN 0.872 SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters xyf513/SpiderCNN 2018
7 GS-Net 0.872 Geometry Sharing Network for 3D Point Cloud Classification and Segmentation MingyeXu/GS-Net 2019
9 SO-Net 0.868 SO-Net: Self-Organizing Network for Point Cloud Analysis lijx10/SO-Net · donnyruixu/pc-elm-ae · LONG-9621/SO-Net 2018
10 AdaptConv 0.858 Adaptive Graph Convolution for Point Cloud Analysis hrzhou2/adaptconv-master 2021
11 DGCNN 0.738 Dynamic Graph CNN for Learning on Point Clouds WangYueFt/dgcnn · vinits5/learning3d · AnTao97/dgcnn.pytorch · +18 2018
12 PointNet 0.684 PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation charlesq34/pointnet · fxia22/pointnet.pytorch · WangYueFt/dgcnn · +107 2016
13 3DMedPT 0.936 3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis crane-papercode/3dmedpt 2021
14 PCT 0.914 PCT: Point cloud transformer qq456cvb/Point-Transformers · MenghaoGuo/PCT · Strawberry-Eat-Mango/PCT_Pytorch · +8 2020
15 PAConv 0.906 PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds PaddlePaddle/Paddle3D · CVMI-Lab/PAConv 2021
16 PointNet++ 0.903 PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space yanx27/Pointnet_Pointnet2_pytorch · charlesq34/pointnet2 · facebookresearch/votenet · +65 2017
17 PointConv 0.883 PointConv: Deep Convolutional Networks on 3D Point Clouds vinits5/learning3d · DylanWusee/pointconv · DylanWusee/pointconv_pytorch · +6 2018
18 PointCNN 0.875 PointCNN: Convolution On X-Transformed Points yangyanli/PointCNN 2018
19 SpiderCNN 0.872 SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters xyf513/SpiderCNN 2018
19 GS-Net 0.872 Geometry Sharing Network for 3D Point Cloud Classification and Segmentation MingyeXu/GS-Net 2019
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