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 226–250 of 348 papers

TitleStatusHype
Augmented Efficiency: Reducing Memory Footprint and Accelerating Inference for 3D Semantic Segmentation through Hybrid Vision—0
Weakly Supervised 3D Semantic Segmentation Using Cross-Image Consensus and Inter-Voxel Affinity Relations—0
MFSeg: Efficient Multi-frame 3D Semantic Segmentation—0
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding—0
Transferring CLIP's Knowledge into Zero-Shot Point Cloud Semantic Segmentation—0
MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation—0
Model2Scene: Learning 3D Scene Representation via Contrastive Language-CAD Models Pre-training—0
TS40K: a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission System—0
MOSE: Monocular Semantic Reconstruction Using NeRF-Lifted Noisy Priors—0
Spatial Layout Consistency for 3D Semantic Segmentation—0
TTT-KD: Test-Time Training for 3D Semantic Segmentation through Knowledge Distillation from Foundation Models—0
Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation—0
Spherical Interpolated Convolutional Network with Distance-Feature Density for 3D Semantic Segmentation of Point Clouds—0
Multi Projection Fusion for Real-time Semantic Segmentation of 3D LiDAR Point Clouds—0
Multi-Sem Fusion: Multimodal Semantic Fusion for 3D Object Detection—0
Multi-view PointNet for 3D Scene Understanding—0
Mx2M: Masked Cross-Modality Modeling in Domain Adaptation for 3D Semantic Segmentation—0
Navya3DSeg -- Navya 3D Semantic Segmentation Dataset & split generation for autonomous vehicles—0
NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes—0
Novel class discovery meets foundation models for 3D semantic segmentation—0
Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation—0
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation—0
Attention Models for Point Clouds in Deep Learning: A Survey—0
A Robotic 3D Perception System for Operating Room Environment Awareness—0
OpenLex3D: A New Evaluation Benchmark for Open-Vocabulary 3D Scene Representations—0
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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