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  4. 3D Point Cloud Classification On Intra

3D Point Cloud Classification On Intra

评估指标

F1 score (5-fold)

评测结果

各个模型在此基准测试上的表现结果

模型名称
F1 score (5-fold)
Paper TitleRepository
PointConv0.883PointConv: Deep Convolutional Networks on 3D Point Clouds
AdaptConv0.858Adaptive Graph Convolution for Point Cloud Analysis
SO-Net0.868SO-Net: Self-Organizing Network for Point Cloud Analysis
PointCNN0.875PointCNN: Convolution On X-Transformed Points-
SpiderCNN0.872SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
3DMedPT0.9363D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis
PointNet++0.903PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
GS-Net0.872Geometry Sharing Network for 3D Point Cloud Classification and Segmentation
DGCNN0.738Dynamic Graph CNN for Learning on Point Clouds
PCT0.914PCT: Point cloud transformer
PointNet0.684PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PAConv0.906PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
0 of 12 row(s) selected.
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