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 151200 of 348 papers

TitleStatusHype
Rethinking Range View Representation for LiDAR Segmentation0
Spatial Layout Consistency for 3D Semantic Segmentation0
COVERED, CollabOratiVE Robot Environment Dataset for 3D Semantic segmentationCode0
Navya3DSeg -- Navya 3D Semantic Segmentation Dataset & split generation for autonomous vehicles0
From CAD models to soft point cloud labels: An automatic annotation pipeline for cheaply supervised 3D semantic segmentation0
Human Vision Based 3D Point Cloud Semantic Segmentation of Large-Scale Outdoor SceneCode1
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous DrivingCode1
Using a Waffle Iron for Automotive Point Cloud Semantic SegmentationCode1
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive LossCode0
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIPCode1
Understanding Imbalanced Semantic Segmentation Through Neural CollapseCode0
Open-Set Semantic Segmentation for Point Clouds via Adversarial Prototype Framework0
UniDA3D: Unified Domain Adaptive 3D Semantic Segmentation PipelineCode1
Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation0
Multi-Sem Fusion: Multimodal Semantic Fusion for 3D Object Detection0
Domain generalization of 3D semantic segmentation in autonomous drivingCode1
Superpoint Transformer for 3D Scene Instance SegmentationCode1
OpenScene: 3D Scene Understanding with Open VocabulariesCode2
Meta Architecture for Point Cloud AnalysisCode1
A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation0
LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in TransformersCode0
Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation0
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds0
Point Transformer V2: Grouped Vector Attention and Partition-based PoolingCode2
COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud SegmentationCode1
LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception0
Image Understands Point Cloud: Weakly Supervised 3D Semantic Segmentation via Association LearningCode0
CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous DrivingCode1
Teachers in concordance for pseudo-labeling of 3D sequential dataCode1
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point CloudsCode2
GFNet: Geometric Flow Network for 3D Point Cloud Semantic SegmentationCode1
LidarMultiNet: Unifying LiDAR Semantic Segmentation, 3D Object Detection, and Panoptic Segmentation in a Single Multi-task Network0
Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy AutoencodersCode2
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling StrategiesCode3
Point-to-Voxel Knowledge Distillation for LiDAR Semantic SegmentationCode0
Deep Sensor Fusion with Pyramid Fusion Networks for 3D Semantic SegmentationCode1
PointVector: A Vector Representation In Point Cloud AnalysisCode0
blob loss: instance imbalance aware loss functions for semantic segmentationCode1
Surface Representation for Point CloudsCode2
MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation0
Learning 3D Semantics from Pose-Noisy 2D Images with Hierarchical Full Attention NetworkCode0
Language-Grounded Indoor 3D Semantic Segmentation in the WildCode1
Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic SegmentationCode2
DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic SegmentationCode1
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving DataCode2
CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance0
STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud DatasetCode2
TO-Scene: A Large-scale Dataset for Understanding 3D Tabletop ScenesCode1
Scribble-Supervised LiDAR Semantic SegmentationCode2
Understanding the Challenges When 3D Semantic Segmentation Faces Class Imbalanced and OOD Data0
Show:102550
← PrevPage 4 of 7Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LSK3DNettest mIoU75.6Unverified
2PPT+PTv3test mIoU75.5Unverified
3UniSegtest mIoU75.2Unverified
4SphereFormertest mIoU74.8Unverified
5DITRtest mIoU74.4Unverified
6RangeFormertest mIoU73.3Unverified
7FRNettest 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