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

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Showing 326–348 of 348 papers

Title	Date	Tasks	Status
Associatively Segmenting Instances and Semantics in Point Clouds	Feb 26, 2019	3D Instance Segmentation3D Semantic Segmentation	CodeCode Available
Dynamics-aware Adversarial Attack of 3D Sparse Convolution Network	Dec 17, 2021	3D Classification3D Semantic Segmentation	CodeCode Available
SPLATNet: Sparse Lattice Networks for Point Cloud Processing	Feb 22, 2018	3D Part Segmentation3D Semantic Segmentation	CodeCode Available
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud	Oct 19, 2017	3D Semantic SegmentationAutonomous Driving	CodeCode Available
Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation	Nov 24, 2024	3D Semantic SegmentationActive Learning	CodeCode Available
COLA: COarse LAbel pre-training for 3D semantic segmentation of sparse LiDAR datasets	Feb 14, 2022	3D Semantic SegmentationAutonomous Driving	CodeCode Available
Brain Tissue Segmentation Using NeuroNet With Different Pre-processing Techniques	Mar 29, 2019	3D Semantic SegmentationDecoder	CodeCode Available
SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud	Sep 22, 2018	3D Semantic SegmentationDomain Adaptation	CodeCode Available
LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers	Oct 23, 2022	3D Object Detection3D Point Cloud Classification	CodeCode Available
COVERED, CollabOratiVE Robot Environment Dataset for 3D Semantic segmentation	Feb 24, 2023	3D Semantic SegmentationReal-Time Semantic Segmentation	CodeCode Available
T-UDA: Temporal Unsupervised Domain Adaptation in Sequential Point Clouds	Sep 15, 2023	3D Semantic SegmentationDomain Adaptation	CodeCode Available
SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation	Aug 1, 2024	3D Semantic SegmentationDenoising	CodeCode Available
OVGaussian: Generalizable 3D Gaussian Segmentation with Open Vocabularies	Dec 31, 2024	3DGS3D Semantic Segmentation	CodeCode Available
3D Semantic Segmentation of Modular Furniture using rjMCMC	May 15, 2017	3D Semantic Segmentationfurniture segmentation	CodeCode Available
Learning Regional Purity for Instance Segmentation on 3D Point Clouds	Nov 3, 2020	3D Instance Segmentation3D Semantic Segmentation	CodeCode Available
PanoSLAM: Panoptic 3D Scene Reconstruction via Gaussian SLAM	Dec 31, 2024	3D Instance Segmentation3D Reconstruction	CodeCode Available
Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point Clouds	Sep 10, 2024	3D Object Detection3D Semantic Segmentation	CodeCode Available
PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding	Dec 6, 2018	3D Instance Segmentation3D Semantic Segmentation	CodeCode Available
Path-Invariant Map Networks	Dec 31, 2018	3D Semantic SegmentationScene Segmentation	CodeCode Available
Cross-Shape Attention for Part Segmentation of 3D Point Clouds	Mar 20, 2020	3D Semantic SegmentationRetrieval	CodeCode Available
Learning Free-Form Deformations for 3D Object Reconstruction	Mar 29, 2018	3D Object Reconstruction3D Reconstruction	CodeCode Available
Image Understands Point Cloud: Weakly Supervised 3D Semantic Segmentation via Association Learning	Sep 16, 2022	3D Semantic SegmentationPseudo Label	CodeCode Available
PointCNN: Convolution On X-Transformed Points	Dec 1, 2018	3D Part Segmentation3D Point Cloud Classification	CodeCode Available

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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	FRNet	test mIoU	73.3	—	Unverified
7	RangeFormer	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