3D Semantic Segmentation

3D Semantic Segmentation is a computer vision task that involves dividing a 3D point cloud or 3D mesh into semantically meaningful parts or regions. The goal of 3D semantic segmentation is to identify and label different objects and parts within a 3D scene, which can be used for applications such as robotics, autonomous driving, and augmented reality.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 76–100 of 348 papers

Title	Date	Tasks	Status	Hype	Score
Domain generalization of 3D semantic segmentation in autonomous driving	Dec 7, 2022	3D Semantic SegmentationAutonomous Driving	CodeCode Available	1	5
DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation	Apr 4, 2022	3D Semantic SegmentationDomain Adaptation	CodeCode Available	1	5
MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous Driving	Mar 15, 2023	3D Semantic SegmentationAutonomous Driving	CodeCode Available	1	5
DLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point Clouds	Jun 1, 2021	3D Semantic SegmentationDecoder	CodeCode Available	1	5
Fusion-then-Distillation: Toward Cross-modal Positive Distillation for Domain Adaptive 3D Semantic Segmentation	Oct 25, 2024	3D Semantic SegmentationDomain Adaptation	CodeCode Available	1	5
AutoML Segmentation for 3D Medical Image Data: Contribution to the MSD Challenge 2018	May 20, 2020	3D Semantic SegmentationAutoML	CodeCode Available	1	5
DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes	Apr 2, 2020	3D Semantic SegmentationScene Segmentation	CodeCode Available	1	5
Dynamic Graph CNN for Learning on Point Clouds	Jan 24, 2018	3D Part Segmentation3D Point Cloud Classification	CodeCode Available	1	5
A Closer Look at Local Aggregation Operators in Point Cloud Analysis	Jul 2, 2020	3D Semantic Segmentation	CodeCode Available	1	5
ECLAIR: A High-Fidelity Aerial LiDAR Dataset for Semantic Segmentation	Apr 16, 2024	3D Semantic SegmentationManagement	CodeCode Available	1	5
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation	Feb 25, 2020	2D Semantic Segmentation3D Semantic Segmentation	CodeCode Available	1	5
Depth Based Semantic Scene Completion with Position Importance Aware Loss	Jan 29, 2020	3D Semantic SegmentationPosition	CodeCode Available	1	5
Efficient Urban-scale Point Clouds Segmentation with BEV Projection	Sep 19, 2021	3D Semantic SegmentationSegmentation	CodeCode Available	1	5
In Depth Bayesian Semantic Scene Completion	Oct 16, 2020	3D Semantic SegmentationSegmentation	CodeCode Available	1	5
Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud	Mar 18, 2021	3D Semantic SegmentationSegmentation	CodeCode Available	1	5
BFANet: Revisiting 3D Semantic Segmentation with Boundary Feature Analysis	Mar 16, 2025	3D Semantic SegmentationData Augmentation	CodeCode Available	1	5
UniDA3D: Unified Domain Adaptive 3D Semantic Segmentation Pipeline	Dec 20, 2022	3D Semantic SegmentationDomain Adaptation	CodeCode Available	1	5
Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation	Apr 6, 2023	3D Semantic SegmentationAutonomous Driving	CodeCode Available	1	5
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts	Dec 16, 2020	3D Semantic SegmentationInstance Segmentation	CodeCode Available	1	5
Mix3D: Out-of-Context Data Augmentation for 3D Scenes	Oct 5, 2021	3D Semantic SegmentationSemantic Segmentation	CodeCode Available	1	5
MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding	Feb 15, 2024	3D Part Segmentation3D Semantic Segmentation	CodeCode Available	1	5
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds	Apr 3, 2023	3D Semantic SegmentationAutonomous Driving	CodeCode Available	1	5
One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation	Apr 6, 2021	3D Semantic SegmentationRelation Network	CodeCode Available	1	5
BuildingNet: Learning to Label 3D Buildings	Oct 11, 2021	2k3D Building Mesh Labeling	CodeCode Available	1	5
GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation	Jul 6, 2022	3D Semantic SegmentationLIDAR Semantic Segmentation	CodeCode Available	1	5

Show:10 25 50

← PrevPage 4 of 14Next →

All datasets SemanticKITTI ScanNet200 DALES KITTI-360 ScanNet SensatUrban Toronto-3D PartNet S3DIS ScribbleKITTI STPLS3D RELLIS-3D Dataset

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	LSK3DNet	test mIoU	75.6	—	Unverified
2	PPT+PTv3	test mIoU	75.5	—	Unverified
3	UniSeg	test mIoU	75.2	—	Unverified
4	SphereFormer	test mIoU	74.8	—	Unverified
5	DITR	test mIoU	74.4	—	Unverified
6	RangeFormer	test mIoU	73.3	—	Unverified
7	FRNet	test mIoU	73.3	—	Unverified
8	2DPASS	test mIoU	72.9	—	Unverified
9	PTv2	test mIoU	72.6	—	Unverified
10	PPT+SparseUNet	val mIoU	71.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DITR	val mIoU	41.2	—	Unverified
2	ODIN	val mIoU	40.5	—	Unverified
3	PTv3 ArKitLabelmaker	val mIoU	40.3	—	Unverified
4	BFANet	val mIoU	37.3	—	Unverified
5	Sonata + PTv3	val mIoU	36.8	—	Unverified
6	Pamba	val mIoU	36.3	—	Unverified
7	PTv3 + PPT	val mIoU	36	—	Unverified
8	OA-CNNs	val mIoU	33.3	—	Unverified
9	LSK3DNet	val mIoU	33.1	—	Unverified
10	OctFormer	val mIoU	32.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	KPConv	mIoU	81.1	—	Unverified
2	Superpoint Transformer	mIoU	79.6	—	Unverified
3	EyeNet	mIoU	79.6	—	Unverified
4	SuperCluster	mIoU	77.3	—	Unverified
5	PointNet++	mIoU	68.3	—	Unverified
6	ConvPoint	mIoU	67.4	—	Unverified
7	SPG	mIoU	60.6	—	Unverified
8	PointCNN	mIoU	58.4	—	Unverified
9	ShellNet	mIoU	57.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DA-supervised	miou Val	64.1	—	Unverified
2	CLOUDSPAM	miou Val	63.6	—	Unverified
3	Superpoint Transformer	miou Val	63.5	—	Unverified
4	SuperCluster	miou Val	62.1	—	Unverified
5	DeepViewAgg	miou	58.3	—	Unverified
6	MinkowskiNet	miou	53.92	—	Unverified
7	PointNet++	miou	35.66	—	Unverified
8	PointNet	miou	13.07	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DITR	Top-1 IoU	0.53	—	Unverified
2	Sonata	Top-1 IoU	0.5	—	Unverified
3	PTv3	Top-1 IoU	0.49	—	Unverified
4	CAC	Top-1 IoU	0.48	—	Unverified
5	OA-CNN	Top-1 IoU	0.47	—	Unverified
6	OctFormer	Top-1 IoU	0.46	—	Unverified
7	SpUNet (MinkowskiNet)	Top-1 IoU	0.46	—	Unverified
8	PTv2	Top-1 IoU	0.45	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LCPFormer	mIoU	63.4	—	Unverified
2	EyeNet	mIoU	62.3	—	Unverified
3	BEV-Seg3D-Net	mIoU	61.7	—	Unverified
4	KPConv	mIoU	57.58	—	Unverified
5	SCF-Net	mIoU	55.1	—	Unverified
6	SparseConv	mIoU	42.66	—	Unverified
7	SPGraph	mIoU	37.29	—	Unverified
8	TangentConv	mIoU	33.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SCF-Net	OA	95.5	—	Unverified
2	RandLANet	OA	93.5	—	Unverified
3	KPFCNN	OA	91.71	—	Unverified
4	TGNet	OA	91.64	—	Unverified
5	MS-PCNN	OA	91.53	—	Unverified
6	PointNet++	OA	91.21	—	Unverified
7	DGCNN	OA	89	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CSN	mIOU	62.1	—	Unverified
2	MID-Net	mIOU	60.8	—	Unverified
3	FG-Net	mIOU	58.2	—	Unverified
4	closerlook3D	mIOU	53.8	—	Unverified
5	DeepGCN	mIOU	45.1	—	Unverified
6	PartNet	mIOU	43.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Superpoint Transformer	mIoU (6-Fold)	76	—	Unverified
2	OneFormer3D	mIoU (Area-5)	72.4	—	Unverified
3	PointTransformerV2	mIoU (Area-5)	71.6	—	Unverified
4	PointNext	mIoU (Area-5)	70.5	—	Unverified
5	PointTransformer	mIoU (Area-5)	70.4	—	Unverified
6	PVCNN++	mIoU (6-Fold)	58.98	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	IGNet	mIoU	62	—	Unverified
2	SSLSS with Cylinder3D	mIoU	61.3	—	Unverified
3	Cylinder3D	mIoU	57	—	Unverified
4	LiM3D	mIoU-1%	57	—	Unverified
5	LiM3D+SDSC	mIoU-1%	55.8	—	Unverified
6	MinkowskiNet	mIoU	55	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	KpConv	mIOU	53.73	—	Unverified
2	PointCT	mIOU	53.2	—	Unverified
3	MinkowskiNet	mIOU	51.3	—	Unverified
4	SCF-Net	mIOU	50.65	—	Unverified
5	Point transformer	mIOU	47.64	—	Unverified
6	PointNet++	mIOU	15.92	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Cylinder3D	Mean IoU (class)	46.07	—	Unverified
2	salsanext	Mean IoU (class)	43.07	—	Unverified
3	Sphereformer	Mean IoU (class)	42.19	—	Unverified
4	kpconv	Mean IoU (class)	19.97	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Cylinder3D	mIoU	40.07	—	Unverified
2	SPVCNN	mIoU	36.78	—	Unverified
3	MinkUNet	mIoU	36.53	—	Unverified
4	SphereFormer	mIoU	33.97	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PTv2	mIoU	82.6	—	Unverified
2	FRNet	mIoU	82.5	—	Unverified
3	AF2S3Net	mIoU	78.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PointVector-XL	mIoU	76.5	—	Unverified
2	PointMetaBase-XXL	mIoU	75.8	—	Unverified
3	PointNeXt-XL	mIoU	70.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PanopticNDT (10cm)	mIoU	45.43	—	Unverified
2	SemanticNDT (10cm)	mIoU	44.31	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DITR	mIoU	73.3	—	Unverified
2	vFusedSeg3D	mIoU	72.46	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	2D–3D + 3 × 3 × 3	Mean IoU (test)	0.45	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Res16UNet14C	F1	0.85	—	Unverified