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LIDAR Semantic Segmentation

Papers

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Showing 101–129 of 129 papers

TitleStatusHype
Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt TrainingCode0
Cross-modal & Cross-domain Learning for Unsupervised LiDAR Semantic Segmentation—0
LEST: Large-scale LiDAR Semantic Segmentation with Transformer—0
Instant Domain Augmentation for LiDAR Semantic Segmentation—0
Rethinking Range View Representation for LiDAR Segmentation—0
Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving—0
Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentation—0
Efficient LiDAR Point Cloud Oversegmentation NetworkCode0
LidarMultiNet: Unifying LiDAR Semantic Segmentation, 3D Object Detection, and Panoptic Segmentation in a Single Multi-task Network—0
Point-to-Voxel Knowledge Distillation for LiDAR Semantic SegmentationCode0
Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation—0
Domain Adaptation in LiDAR Semantic Segmentation via Alternating Skip Connections and Hybrid Learning—0
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain ConcatenationCode0
Learning 3D Semantic Segmentation with only 2D Image Supervision—0
LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation—0
Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters—0
PolarStream: Streaming Lidar Object Detection and Segmentation with Polar PillarsCode0
Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks—0
Input-Output Balanced Framework for Long-tailed LiDAR Semantic Segmentation—0
Lite-HDSeg: LiDAR Semantic Segmentation Using Lite Harmonic Dense Convolutions—0
S3Net: 3D LiDAR Sparse Semantic Segmentation Network—0
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network—0
AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation—0
Multi Projection Fusion for Real-time Semantic Segmentation of 3D LiDAR Point Clouds—0
Domain Adaptation in LiDAR Semantic Segmentation by Aligning Class Distributions—0
Deformable Filter Convolution for Point Cloud Reasoning—0
ConvPoint: Continuous Convolutions for Point Cloud ProcessingCode0
Paris-Lille-3D: a large and high-quality ground truth urban point cloud dataset for automatic segmentation and classification—0
3D Semantic Segmentation with Submanifold Sparse Convolutional NetworksCode0
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All datasetsnuScenesParis-Lille-3DSemanticKITTISMIDSemanticSTFULS labeled data

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DITRtest mIoU0.85—Unverified
2PTv3 + PPTtest mIoU0.83—Unverified
3PTv2test mIoU0.83—Unverified
4FRNettest mIoU0.83—Unverified
5SphereFormertest mIoU0.82—Unverified
6SPVCNN++test mIoU0.81—Unverified
7RangeFormertest mIoU0.81—Unverified
82DPASStest mIoU0.81—Unverified
9Serialized Piont Mambaval mIoU0.81—Unverified
10SFPNettest mIoU0.8—Unverified
#ModelMetricClaimedVerifiedStatus
1FKAConvmIOU0.83—Unverified
2Feature Geometric Net (FG Net)mIOU0.82—Unverified
3GeomGCNNmIOU0.79—Unverified
4ConvPointmIOU0.76—Unverified
5KPConv deformmIOU0.76—Unverified
6CLOUDSPAMmIOU0.74—Unverified
7ConvPoint_KerasmIOU0.72—Unverified
8DA-supervisedmIOU0.64—Unverified
9Paris-Lille-3DmIOU0.31—Unverified
#ModelMetricClaimedVerifiedStatus
1AF2S3NetmIOU70.8—Unverified
2SFPNetmIOU70.3—Unverified
3TFNetmIOU66.1—Unverified
4MPFmIOU55.5—Unverified
#ModelMetricClaimedVerifiedStatus
1SFPNetval mIoU72.8—Unverified
2Cylinder3Dval mIoU68.8—Unverified
3SphereFormerval mIoU67.8—Unverified
4Submanifold Sparse CNNval mIoU67.6—Unverified
#ModelMetricClaimedVerifiedStatus
1SJ+LPD (SemanticKITTI2SemanticSTF)Mean IoU39.5—Unverified
2SJ+LPD (SynLiDAR2SemanticSTF)Mean IoU20.51—Unverified
#ModelMetricClaimedVerifiedStatus
1SOULBinary Accuracy0.76—Unverified