Home Console Docs News Papers Tutorials Datasets Wiki SOTA LLM Models GPU Leaderboard Events

English

3D Semantic Segmentation On Sensaturban

Metrics

mIoU

Results

Performance results of various models on this benchmark

		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

0 of 8 row(s) selected.

3D Semantic Segmentation On Sensaturban | SOTA | HyperAI