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Semantic Segmentation On Semantic3D

Metrics

mIoU

Results

Performance results of various models on this benchmark

Model Name
mIoU
Paper TitleRepository
SPG73.2%Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
SegCloud61.3%SEGCloud: Semantic Segmentation of 3D Point Clouds-
BAAF-Net75.4%Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion
TMLC-MSR54.2%Fast semantic segmentation of 3d point clouds with strongly varying density-
SnapNet_59.1%Unstructured point cloud semantic labelingusing deep segmentation networks
RandLA-Net77.4%RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
shellnet_v269.3%ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics-
GACNet70.8%Graph Attention Convolution for Point Cloud Semantic Segmentation
3D-FCNN-TI58.2%SEGCloud: Semantic Segmentation of 3D Point Clouds-
RFCR77.8%Omni-supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning
SCF-Net77.6%SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation
RF_MSSF62.7%Semantic Classification of 3D Point Clouds with Multiscale Spherical Neighborhoods-
DeePr3SS58.5%Deep Projective 3D Semantic Segmentation
KPConv74.6%KPConv: Flexible and Deformable Convolution for Point Clouds
Feature Geometric Net78.2%FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware Modelling
MSDeepVoxNet65.3%Classification of Point Cloud Scenes with Multiscale Voxel Deep Network
SPG76.2%Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
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