Semantic Segmentation on Semantic3D

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mIoU

Rank	Model	mIoU	oAcc	Paper	Code	Year
1	Feature Geometric Net	78.2%	93.6	FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware Modelling	KangchengLiu/Feature-Geometric-Net-FG-Net	2020
2	RFCR	77.8%	–	Omni-supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning	azuki-miho/RFCR · 2023-MindSpore-1/ms-code-114	2021
3	SCF-Net	77.6%	94.7%	SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation	leofansq/SCF-Net	2021
4	RandLA-Net	77.4%	94.8	RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds	intel-isl/Open3D-ML · QingyongHu/RandLA-Net · aRI0U/RandLA-Net-pytorch · +6	2019
5	SPG	76.2%	92.9%	Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs	loicland/superpoint_graph · jsgaobiao/superpoint_graph	2017
6	BAAF-Net	75.4%	94.9%	Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion	ShiQiu0419/BAAF-Net · ananyajana/baafnet_pytorch	2021
7	KPConv	74.6%	–	KPConv: Flexible and Deformable Convolution for Point Clouds	isl-org/Open3D-ML · HuguesTHOMAS/KPConv-PyTorch · HuguesTHOMAS/KPConv · +7	2019
8	SPG	73.2%	–	Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs	loicland/superpoint_graph · jsgaobiao/superpoint_graph	2017
9	GACNet	70.8%	–	Graph Attention Convolution for Point Cloud Semantic Segmentation	yanx27/GACNet	2019
10	shellnet_v2	69.3%	–	ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics	hkust-vgd/shellnet	2019
11	MSDeepVoxNet	65.3%	–	Classification of Point Cloud Scenes with Multiscale Voxel Deep Network	xroynard/ms_deepvoxscene	2018
12	RF_MSSF	62.7%	–	Semantic Classification of 3D Point Clouds with Multiscale Spherical Neighborhoods		2018
13	SegCloud	61.3%	–	SEGCloud: Semantic Segmentation of 3D Point Clouds		2017
14	SnapNet_	59.1%	–	Unstructured point cloud semantic labelingusing deep segmentation networks	aboulch/snapnet	2017
15	DeePr3SS	58.5%	–	Deep Projective 3D Semantic Segmentation	TiagoCortinhal/SalsaNext	2017
16	3D-FCNN-TI	58.2%	–	SEGCloud: Semantic Segmentation of 3D Point Clouds		2017
17	TMLC-MSR	54.2%	–	Fast semantic segmentation of 3d point clouds with strongly varying density		2016
18	Feature Geometric Net	78.2%	93.6	FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware Modelling	KangchengLiu/Feature-Geometric-Net-FG-Net	2020
19	RFCR	77.8%	–	Omni-supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning	azuki-miho/RFCR · 2023-MindSpore-1/ms-code-114	2021
20	SCF-Net	77.6%	94.7%	SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation	leofansq/SCF-Net	2021