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
Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural NetworksCode1
WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Large-scale Natural EnvironmentsCode1
XMask3D: Cross-modal Mask Reasoning for Open Vocabulary 3D Semantic SegmentationCode1
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic SegmentationCode1
3D Semantic Segmentation of Modular Furniture using rjMCMCCode0
Understanding Imbalanced Semantic Segmentation Through Neural CollapseCode0
TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on MeshesCode0
RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNsCode0
RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNsCode0
Scalable 3D Semantic Segmentation for Gun Detection in CT ScansCode0
PanoSLAM: Panoptic 3D Scene Reconstruction via Gaussian SLAMCode0
Shooting Labels: 3D Semantic Labeling by Virtual RealityCode0
Exploring Scene Affinity for Semi-Supervised LiDAR Semantic SegmentationCode0
Exploring Spatial Context for 3D Semantic Segmentation of Point CloudsCode0
PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object UnderstandingCode0
Generalized 3D Self-supervised Learning Framework via Prompted Foreground-Aware Feature ContrastCode0
Vision Transformers increase efficiency of 3D cardiac CT multi-label segmentationCode0
Path-Invariant Map NetworksCode0
Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point Cloud Saliency TransferCode0
SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR SequencesCode0
SE3D: A Framework For Saliency Method Evaluation In 3D ImagingCode0
Associatively Segmenting Instances and Semantics in Point CloudsCode0
AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Scene UnderstandingCode0
COLA: COarse LAbel pre-training for 3D semantic segmentation of sparse LiDAR datasetsCode0
PointCNN: Convolution On X-Transformed PointsCode0
SPLATNet: Sparse Lattice Networks for Point Cloud ProcessingCode0
COVERED, CollabOratiVE Robot Environment Dataset for 3D Semantic segmentationCode0
ConvPoint: Continuous Convolutions for Point Cloud ProcessingCode0
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point CloudCode0
seg_3D_by_PC2D: Multi-View Projection for Domain Generalization and Adaptation in 3D Semantic SegmentationCode0
vFusedSeg3D: 3rd Place Solution for 2024 Waymo Open Dataset Challenge in Semantic SegmentationCode0
PointVector: A Vector Representation In Point Cloud AnalysisCode0
Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point CloudsCode0
Cross-Shape Attention for Part Segmentation of 3D Point CloudsCode0
Point-LGMask: Local and Global Contexts Embedding for Point Cloud Pre-training with Multi-Ratio MaskingCode0
Smaller3d: Smaller Models for 3D Semantic Segmentation Using Minkowski Engine and Knowledge Distillation MethodsCode0
SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging SegmentationCode0
SurfConv: Bridging 3D and 2D Convolution for RGBD ImagesCode0
Multi-modality Affinity Inference for Weakly Supervised 3D Semantic SegmentationCode0
Image Understands Point Cloud: Weakly Supervised 3D Semantic Segmentation via Association LearningCode0
Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape DataCode0
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive LossCode0
CLOUDSPAM: Contrastive Learning On Unlabeled Data for Segmentation and Pre-Training Using Aggregated Point Clouds and MoCoCode0
Point-to-Voxel Knowledge Distillation for LiDAR Semantic SegmentationCode0
Integrating Deep Metric Learning with Coreset for Active Learning in 3D SegmentationCode0
Deep Learning on 3D Semantic Segmentation: A Detailed ReviewCode0
Robo3D: Towards Robust and Reliable 3D Perception against CorruptionsCode0
Dense cellular segmentation for EM using 2D–3D neural network ensemblesCode0
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random FieldsCode0
SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point CloudCode0
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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