SOTAVerified

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

Showing 101150 of 348 papers

TitleStatusHype
Learning Inner-Group Relations on Point CloudsCode1
FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware ModellingCode1
FIDNet: LiDAR Point Cloud Semantic Segmentation with Fully Interpolation DecodingCode1
FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud SegmentationCode1
MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous DrivingCode1
MoPA: Multi-Modal Prior Aided Domain Adaptation for 3D Semantic SegmentationCode1
PointCT: Point Central Transformer Network for Weakly-supervised Point Cloud Semantic SegmentationCode1
Point-GCC: Universal Self-supervised 3D Scene Pre-training via Geometry-Color ContrastCode1
Fully Automated Scan-to-BIM Via Point Cloud Instance SegmentationCode1
Fusion-then-Distillation: Toward Cross-modal Positive Distillation for Domain Adaptive 3D Semantic SegmentationCode1
Human Vision Based 3D Point Cloud Semantic Segmentation of Large-Scale Outdoor SceneCode1
PointNet: Deep Learning on Point Sets for 3D Classification and SegmentationCode1
Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded PlatformCode1
GNeSF: Generalizable Neural Semantic FieldsCode1
Semantic Segmentation-assisted Scene Completion for LiDAR Point CloudsCode1
Meta Architecture for Point Cloud AnalysisCode1
Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature AggregationCode1
Point TransformerCode1
ARCH2S: Dataset, Benchmark and Challenges for Learning Exterior Architectural Structures from Point CloudsCode1
HRHD-HK: A benchmark dataset of high-rise and high-density urban scenes for 3D semantic segmentation of photogrammetric point cloudsCode1
Mix3D: Out-of-Context Data Augmentation for 3D ScenesCode1
MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point CloudsCode1
Cross-modal Learning for Domain Adaptation in 3D Semantic SegmentationCode1
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous DrivingCode1
In Depth Bayesian Semantic Scene CompletionCode1
RangeNet++: Fast and Accurate LiDAR Semantic SegmentationCode1
KPRNet: Improving projection-based LiDAR semantic segmentationCode1
MeshSegmenter: Zero-Shot Mesh Semantic Segmentation via Texture SynthesisCode1
SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud SegmentationCode1
KPConv: Flexible and Deformable Convolution for Point CloudsCode1
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR SegmentationCode1
Less is More: Towards Efficient Few-shot 3D Semantic Segmentation via Training-free NetworksCode1
JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point CloudsCode1
LinK: Linear Kernel for LiDAR-based 3D PerceptionCode1
Robust Semantic Segmentation of Brain Tumor Regions from 3D MRIsCode1
3D Weakly Supervised Semantic Segmentation with 2D Vision-Language GuidanceCode1
Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic SegmentationCode1
Language-Grounded Indoor 3D Semantic Segmentation in the WildCode1
Investigate Indistinguishable Points in Semantic Segmentation of 3D Point CloudCode1
MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud UnderstandingCode1
Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic SegmentationCode1
SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous DrivingCode1
LogoSP: Local-global Grouping of Superpoints for Unsupervised Semantic Segmentation of 3D Point CloudsCode1
RELLIS-3D Dataset: Data, Benchmarks and AnalysisCode1
Deep Sensor Fusion with Pyramid Fusion Networks for 3D Semantic SegmentationCode1
Learning Context-aware Classifier for Semantic SegmentationCode1
SalsaNet: Fast Road and Vehicle Segmentation in LiDAR Point Clouds for Autonomous DrivingCode1
Shape-aware Semi-supervised 3D Semantic Segmentation for Medical ImagesCode1
Spatio-temporal Self-Supervised Representation Learning for 3D Point CloudsCode1
Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural NetworksCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LSK3DNettest mIoU75.6Unverified
2PPT+PTv3test mIoU75.5Unverified
3UniSegtest mIoU75.2Unverified
4SphereFormertest mIoU74.8Unverified
5DITRtest mIoU74.4Unverified
6FRNettest mIoU73.3Unverified
7RangeFormertest mIoU73.3Unverified
82DPASStest mIoU72.9Unverified
9PTv2test mIoU72.6Unverified
10PPT+SparseUNetval mIoU71.4Unverified
#ModelMetricClaimedVerifiedStatus
1DITRval mIoU41.2Unverified
2ODINval mIoU40.5Unverified
3PTv3 ArKitLabelmakerval mIoU40.3Unverified
4BFANetval mIoU37.3Unverified
5Sonata + PTv3val mIoU36.8Unverified
6Pambaval mIoU36.3Unverified
7PTv3 + PPTval mIoU36Unverified
8OA-CNNsval mIoU33.3Unverified
9LSK3DNetval mIoU33.1Unverified
10OctFormerval mIoU32.6Unverified
#ModelMetricClaimedVerifiedStatus
1KPConvmIoU81.1Unverified
2Superpoint TransformermIoU79.6Unverified
3EyeNetmIoU79.6Unverified
4SuperClustermIoU77.3Unverified
5PointNet++mIoU68.3Unverified
6ConvPointmIoU67.4Unverified
7SPGmIoU60.6Unverified
8PointCNNmIoU58.4Unverified
9ShellNetmIoU57.4Unverified
#ModelMetricClaimedVerifiedStatus
1DA-supervisedmiou Val64.1Unverified
2CLOUDSPAMmiou Val63.6Unverified
3Superpoint Transformermiou Val63.5Unverified
4SuperClustermiou Val62.1Unverified
5DeepViewAggmiou58.3Unverified
6MinkowskiNetmiou53.92Unverified
7PointNet++miou35.66Unverified
8PointNetmiou13.07Unverified
#ModelMetricClaimedVerifiedStatus
1DITRTop-1 IoU0.53Unverified
2SonataTop-1 IoU0.5Unverified
3PTv3Top-1 IoU0.49Unverified
4CACTop-1 IoU0.48Unverified
5OA-CNNTop-1 IoU0.47Unverified
6OctFormerTop-1 IoU0.46Unverified
7SpUNet (MinkowskiNet)Top-1 IoU0.46Unverified
8PTv2Top-1 IoU0.45Unverified
#ModelMetricClaimedVerifiedStatus
1LCPFormermIoU63.4Unverified
2EyeNetmIoU62.3Unverified
3BEV-Seg3D-NetmIoU61.7Unverified
4KPConvmIoU57.58Unverified
5SCF-NetmIoU55.1Unverified
6SparseConvmIoU42.66Unverified
7SPGraphmIoU37.29Unverified
8TangentConvmIoU33.3Unverified
#ModelMetricClaimedVerifiedStatus
1SCF-NetOA95.5Unverified
2RandLANetOA93.5Unverified
3KPFCNNOA91.71Unverified
4TGNetOA91.64Unverified
5MS-PCNNOA91.53Unverified
6PointNet++OA91.21Unverified
7DGCNNOA89Unverified
#ModelMetricClaimedVerifiedStatus
1CSNmIOU62.1Unverified
2MID-NetmIOU60.8Unverified
3FG-NetmIOU58.2Unverified
4closerlook3DmIOU53.8Unverified
5DeepGCNmIOU45.1Unverified
6PartNetmIOU43.2Unverified
#ModelMetricClaimedVerifiedStatus
1Superpoint TransformermIoU (6-Fold)76Unverified
2OneFormer3DmIoU (Area-5)72.4Unverified
3PointTransformerV2mIoU (Area-5)71.6Unverified
4PointNextmIoU (Area-5)70.5Unverified
5PointTransformermIoU (Area-5)70.4Unverified
6PVCNN++mIoU (6-Fold)58.98Unverified
#ModelMetricClaimedVerifiedStatus
1IGNetmIoU62Unverified
2SSLSS with Cylinder3DmIoU61.3Unverified
3Cylinder3DmIoU57Unverified
4LiM3DmIoU-1%57Unverified
5LiM3D+SDSCmIoU-1%55.8Unverified
6MinkowskiNetmIoU55Unverified
#ModelMetricClaimedVerifiedStatus
1KpConvmIOU53.73Unverified
2PointCTmIOU53.2Unverified
3MinkowskiNetmIOU51.3Unverified
4SCF-NetmIOU50.65Unverified
5Point transformermIOU47.64Unverified
6PointNet++mIOU15.92Unverified
#ModelMetricClaimedVerifiedStatus
1Cylinder3DMean IoU (class)46.07Unverified
2salsanextMean IoU (class)43.07Unverified
3SphereformerMean IoU (class)42.19Unverified
4kpconvMean IoU (class)19.97Unverified
#ModelMetricClaimedVerifiedStatus
1Cylinder3DmIoU40.07Unverified
2SPVCNNmIoU36.78Unverified
3MinkUNetmIoU36.53Unverified
4SphereFormermIoU33.97Unverified
#ModelMetricClaimedVerifiedStatus
1PTv2mIoU82.6Unverified
2FRNetmIoU82.5Unverified
3AF2S3NetmIoU78.3Unverified
#ModelMetricClaimedVerifiedStatus
1PointVector-XLmIoU76.5Unverified
2PointMetaBase-XXLmIoU75.8Unverified
3PointNeXt-XLmIoU70.6Unverified
#ModelMetricClaimedVerifiedStatus
1PanopticNDT (10cm)mIoU45.43Unverified
2SemanticNDT (10cm)mIoU44.31Unverified
#ModelMetricClaimedVerifiedStatus
1DITRmIoU73.3Unverified
2vFusedSeg3DmIoU72.46Unverified
#ModelMetricClaimedVerifiedStatus
12D–3D + 3 × 3 × 3Mean IoU (test)0.45Unverified
#ModelMetricClaimedVerifiedStatus
1Res16UNet14CF10.85Unverified