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3D Semantic Segmentation On Sensaturban

Métriques

mIoU

Résultats

Résultats de performance de divers modèles sur ce benchmark

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

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