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HyperAI超神经

3D Semantic Segmentation On Sensaturban

评估指标

mIoU

评测结果

各个模型在此基准测试上的表现结果

		Paper Title	Repository
LCPFormer	63.4	LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers
EyeNet	62.30	Human Vision Based 3D Point Cloud Semantic Segmentation of Large-Scale Outdoor Scene
BEV-Seg3D-Net	61.7	Efficient Urban-scale Point Clouds Segmentation with BEV Projection
KPConv	57.58	KPConv: Flexible and Deformable Convolution for Point Clouds
SCF-Net	55.1	SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation	-
SparseConv	42.66	3D Semantic Segmentation with Submanifold Sparse Convolutional Networks
SPGraph	37.29	Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
TangentConv	33.30	Tangent Convolutions for Dense Prediction in 3D

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3D Semantic Segmentation On Sensaturban | SOTA | HyperAI超神经