3D Part Segmentation On Intra

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Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

					Paper Title
3DMedPT	89.71	97.29	82.39	94.82	3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis
SO-Net	88.76	97.09	81.40	94.46	SO-Net: Self-Organizing Network for Point Cloud Analysis
PointConv	86.52	97.18	79.53	94.65	PointConv: Deep Convolutional Networks on 3D Point Clouds
PointNet++	84.64	96.48	76.38	93.42	PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
PointCNN	81.74	96.62	74.11	93.59	PointCNN: Convolution On $\mathcal{X}$-Transformed Points
SpiderCNN	75.82	94.53	67.25	90.16	SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
PointNet	49.59	85.00	37.75	75.23	PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

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