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

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Showing 251–300 of 348 papers

TitleStatusHype
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network—0
RGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Driving—0
Beyond local patches: Preserving global–local interactions by enhancing self-attention via 3D point cloud tokenization—0
Beyond Bare Queries: Open-Vocabulary Object Grounding with 3D Scene Graph—0
From CAD models to soft point cloud labels: An automatic annotation pipeline for cheaply supervised 3D semantic segmentation—0
Fully-automated Body Composition Analysis in Routine CT Imaging Using 3D Semantic Segmentation Convolutional Neural Networks—0
Adaptive Margin Contrastive Learning for Ambiguity-aware 3D Semantic Segmentation—0
Seeing Beyond Cancer: Multi-Institutional Validation of Object Localization and 3D Semantic Segmentation using Deep Learning for Breast MRI—0
Geometry Aware Field-to-field Transformations for 3D Semantic Segmentation—0
Segment-Fusion: Hierarchical Context Fusion for Robust 3D Semantic Segmentation—0
GS4: Generalizable Sparse Splatting Semantic SLAM—0
SegPoint: Segment Any Point Cloud via Large Language Model—0
Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation—0
Hierarchical Intra-modal Correlation Learning for Label-free 3D Semantic Segmentation—0
Image-to-Lidar Relational Distillation for Autonomous Driving Data—0
BEV-DG: Cross-Modal Learning under Bird's-Eye View for Domain Generalization of 3D Semantic Segmentation—0
Improving Point Cloud Semantic Segmentation by Learning 3D Object Detection—0
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss—0
Semantic Implicit Neural Scene Representations With Semi-Supervised Training—0
Instance-aware 3D Semantic Segmentation powered by Shape Generators and Classifiers—0
AdaCo: Overcoming Visual Foundation Model Noise in 3D Semantic Segmentation via Adaptive Label Correction—0
Is Continual Learning Ready for Real-world Challenges?—0
SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances—0
Know What Your Neighbors Do: 3D Semantic Segmentation of Point Clouds—0
Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation—0
3D Segmentation Learning from Sparse Annotations and Hierarchical Descriptors—0
LangSurf: Language-Embedded Surface Gaussians for 3D Scene Understanding—0
Language-Assisted 3D Scene Understanding—0
Semantic Segmentation on 3D Point Clouds with High Density Variations—0
LatticeNet: Fast Spatio-Temporal Point Cloud Segmentation Using Permutohedral Lattices—0
Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions—0
Learning 3D Semantic Segmentation with only 2D Image Supervision—0
Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training—0
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation—0
Bayesian Self-Training for Semi-Supervised 3D Segmentation—0
Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model—0
A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation—0
Leveraging Large-Scale Pretrained Vision Foundation Models for Label-Efficient 3D Point Cloud Segmentation—0
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds—0
LiDAR-based Recurrent 3D Semantic Segmentation with Temporal Memory Alignment—0
LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception—0
LidarMultiNet: Unifying LiDAR Semantic Segmentation, 3D Object Detection, and Panoptic Segmentation in a Single Multi-task Network—0
Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation—0
LiSD: An Efficient Multi-Task Learning Framework for LiDAR Segmentation and Detection—0
2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation—0
Low-Resource White-Box Semantic Segmentation of Supporting Towers on 3D Point Clouds via Signature Shape Identification—0
Pamba: Enhancing Global Interaction in Point Clouds via State Space Model—0
Masked Point-Entity Contrast for Open-Vocabulary 3D Scene Understanding—0
mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets—0
Augmented Efficiency: Reducing Memory Footprint and Accelerating Inference for 3D Semantic Segmentation through Hybrid Vision—0
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All datasetsSemanticKITTIScanNet200DALESKITTI-360ScanNetSensatUrbanToronto-3DPartNetS3DISScribbleKITTISTPLS3DRELLIS-3D Dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LSK3DNettest mIoU75.6—Unverified
2PPT+PTv3test mIoU75.5—Unverified
3UniSegtest mIoU75.2—Unverified
4SphereFormertest mIoU74.8—Unverified
5DITRtest mIoU74.4—Unverified
6RangeFormertest mIoU73.3—Unverified
7FRNettest mIoU73.3—Unverified
82DPASStest mIoU72.9—Unverified
9PTv2test mIoU72.6—Unverified
10PPT+SparseUNetval mIoU71.4—Unverified
#ModelMetricClaimedVerifiedStatus
1DITRval mIoU41.2—Unverified
2ODINval mIoU40.5—Unverified
3PTv3 ArKitLabelmakerval mIoU40.3—Unverified
4BFANetval mIoU37.3—Unverified
5Sonata + PTv3val mIoU36.8—Unverified
6Pambaval mIoU36.3—Unverified
7PTv3 + PPTval mIoU36—Unverified
8OA-CNNsval mIoU33.3—Unverified
9LSK3DNetval mIoU33.1—Unverified
10OctFormerval mIoU32.6—Unverified
#ModelMetricClaimedVerifiedStatus
1KPConvmIoU81.1—Unverified
2Superpoint TransformermIoU79.6—Unverified
3EyeNetmIoU79.6—Unverified
4SuperClustermIoU77.3—Unverified
5PointNet++mIoU68.3—Unverified
6ConvPointmIoU67.4—Unverified
7SPGmIoU60.6—Unverified
8PointCNNmIoU58.4—Unverified
9ShellNetmIoU57.4—Unverified
#ModelMetricClaimedVerifiedStatus
1DA-supervisedmiou Val64.1—Unverified
2CLOUDSPAMmiou Val63.6—Unverified
3Superpoint Transformermiou Val63.5—Unverified
4SuperClustermiou Val62.1—Unverified
5DeepViewAggmiou58.3—Unverified
6MinkowskiNetmiou53.92—Unverified
7PointNet++miou35.66—Unverified
8PointNetmiou13.07—Unverified
#ModelMetricClaimedVerifiedStatus
1DITRTop-1 IoU0.53—Unverified
2SonataTop-1 IoU0.5—Unverified
3PTv3Top-1 IoU0.49—Unverified
4CACTop-1 IoU0.48—Unverified
5OA-CNNTop-1 IoU0.47—Unverified
6OctFormerTop-1 IoU0.46—Unverified
7SpUNet (MinkowskiNet)Top-1 IoU0.46—Unverified
8PTv2Top-1 IoU0.45—Unverified
#ModelMetricClaimedVerifiedStatus
1LCPFormermIoU63.4—Unverified
2EyeNetmIoU62.3—Unverified
3BEV-Seg3D-NetmIoU61.7—Unverified
4KPConvmIoU57.58—Unverified
5SCF-NetmIoU55.1—Unverified
6SparseConvmIoU42.66—Unverified
7SPGraphmIoU37.29—Unverified
8TangentConvmIoU33.3—Unverified
#ModelMetricClaimedVerifiedStatus
1SCF-NetOA95.5—Unverified
2RandLANetOA93.5—Unverified
3KPFCNNOA91.71—Unverified
4TGNetOA91.64—Unverified
5MS-PCNNOA91.53—Unverified
6PointNet++OA91.21—Unverified
7DGCNNOA89—Unverified
#ModelMetricClaimedVerifiedStatus
1CSNmIOU62.1—Unverified
2MID-NetmIOU60.8—Unverified
3FG-NetmIOU58.2—Unverified
4closerlook3DmIOU53.8—Unverified
5DeepGCNmIOU45.1—Unverified
6PartNetmIOU43.2—Unverified
#ModelMetricClaimedVerifiedStatus
1Superpoint TransformermIoU (6-Fold)76—Unverified
2OneFormer3DmIoU (Area-5)72.4—Unverified
3PointTransformerV2mIoU (Area-5)71.6—Unverified
4PointNextmIoU (Area-5)70.5—Unverified
5PointTransformermIoU (Area-5)70.4—Unverified
6PVCNN++mIoU (6-Fold)58.98—Unverified
#ModelMetricClaimedVerifiedStatus
1IGNetmIoU62—Unverified
2SSLSS with Cylinder3DmIoU61.3—Unverified
3Cylinder3DmIoU57—Unverified
4LiM3DmIoU-1%57—Unverified
5LiM3D+SDSCmIoU-1%55.8—Unverified
6MinkowskiNetmIoU55—Unverified
#ModelMetricClaimedVerifiedStatus
1KpConvmIOU53.73—Unverified
2PointCTmIOU53.2—Unverified
3MinkowskiNetmIOU51.3—Unverified
4SCF-NetmIOU50.65—Unverified
5Point transformermIOU47.64—Unverified
6PointNet++mIOU15.92—Unverified
#ModelMetricClaimedVerifiedStatus
1Cylinder3DMean IoU (class)46.07—Unverified
2salsanextMean IoU (class)43.07—Unverified
3SphereformerMean IoU (class)42.19—Unverified
4kpconvMean IoU (class)19.97—Unverified
#ModelMetricClaimedVerifiedStatus
1Cylinder3DmIoU40.07—Unverified
2SPVCNNmIoU36.78—Unverified
3MinkUNetmIoU36.53—Unverified
4SphereFormermIoU33.97—Unverified
#ModelMetricClaimedVerifiedStatus
1PTv2mIoU82.6—Unverified
2FRNetmIoU82.5—Unverified
3AF2S3NetmIoU78.3—Unverified
#ModelMetricClaimedVerifiedStatus
1PointVector-XLmIoU76.5—Unverified
2PointMetaBase-XXLmIoU75.8—Unverified
3PointNeXt-XLmIoU70.6—Unverified
#ModelMetricClaimedVerifiedStatus
1PanopticNDT (10cm)mIoU45.43—Unverified
2SemanticNDT (10cm)mIoU44.31—Unverified
#ModelMetricClaimedVerifiedStatus
1DITRmIoU73.3—Unverified
2vFusedSeg3DmIoU72.46—Unverified
#ModelMetricClaimedVerifiedStatus
12D–3D + 3 × 3 × 3Mean IoU (test)0.45—Unverified
#ModelMetricClaimedVerifiedStatus
1Res16UNet14CF10.85—Unverified