3D Point Cloud Classification On Intra

Metrics

F1 score (5-fold)

Results

Performance results of various models on this benchmark

		Paper Title
3DMedPT	0.936	3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis
PCT	0.914	PCT: Point cloud transformer
PAConv	0.906	PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
PointNet++	0.903	PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
PointConv	0.883	PointConv: Deep Convolutional Networks on 3D Point Clouds
PointCNN	0.875	PointCNN: Convolution On X-Transformed Points
SpiderCNN	0.872	SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
GS-Net	0.872	Geometry Sharing Network for 3D Point Cloud Classification and Segmentation
SO-Net	0.868	SO-Net: Self-Organizing Network for Point Cloud Analysis
AdaptConv	0.858	Adaptive Graph Convolution for Point Cloud Analysis
DGCNN	0.738	Dynamic Graph CNN for Learning on Point Clouds
PointNet	0.684	PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

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