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
Efficient Urban-scale Point Clouds Segmentation with BEV ProjectionCode1
FIDNet: LiDAR Point Cloud Semantic Segmentation with Fully Interpolation DecodingCode1
Spatio-temporal Self-Supervised Representation Learning for 3D Point CloudsCode1
Learning Inner-Group Relations on Point CloudsCode1
Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Semantic SegmentationCode1
VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic SegmentationCode1
Similarity-Aware Fusion Network for 3D Semantic SegmentationCode1
EPMF: Efficient Perception-aware Multi-sensor Fusion for 3D Semantic SegmentationCode1
SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud SegmentationCode1
DLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point CloudsCode1
One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic SegmentationCode1
Bidirectional Projection Network for Cross Dimension Scene UnderstandingCode1
Investigate Indistinguishable Points in Semantic Segmentation of 3D Point CloudCode1
Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive FusionCode1
FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud SegmentationCode1
SUM: A Benchmark Dataset of Semantic Urban MeshesCode1
OpenGF: An Ultra-Large-Scale Ground Filtering Dataset Built Upon Open ALS Point Clouds Around the WorldCode1
Cross-modal Learning for Domain Adaptation in 3D Semantic SegmentationCode1
Semantic Segmentation on Swiss3DCities: A Benchmark Study on Aerial Photogrammetric 3D Pointcloud DatasetCode1
SegGroup: Seg-Level Supervision for 3D Instance and Semantic SegmentationCode1
FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware ModellingCode1
Point TransformerCode1
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene ContextsCode1
Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene CompletionCode1
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR SegmentationCode1
RELLIS-3D Dataset: Data, Benchmarks and AnalysisCode1
In Depth Bayesian Semantic Scene CompletionCode1
Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded PlatformCode1
Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic SegmentationCode1
Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance DiscriminationCode1
Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural NetworksCode1
Virtual Multi-view Fusion for 3D Semantic SegmentationCode1
KPRNet: Improving projection-based LiDAR semantic segmentationCode1
Shape-aware Semi-supervised 3D Semantic Segmentation for Medical ImagesCode1
JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point CloudsCode1
A Closer Look at Local Aggregation Operators in Point Cloud AnalysisCode1
AutoML Segmentation for 3D Medical Image Data: Contribution to the MSD Challenge 2018Code1
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud SegmentationCode1
DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D MeshesCode1
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic SegmentationCode1
Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point CloudsCode1
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban RoadwaysCode1
SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous DrivingCode1
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic SegmentationCode1
Depth Based Semantic Scene Completion with Position Importance Aware LossCode1
Robust Semantic Segmentation of Brain Tumor Regions from 3D MRIsCode1
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 ChallengeCode1
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic SegmentationCode1
RangeNet++: Fast and Accurate LiDAR Semantic SegmentationCode1
SalsaNet: Fast Road and Vehicle Segmentation in LiDAR Point Clouds for Autonomous DrivingCode1
Show:102550
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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