SOTAVerified

LIDAR Semantic Segmentation

Papers

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Showing 1–50 of 129 papers

TitleStatusHype
Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR RepresentationsCode1
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather—0
NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic SegmentationCode0
DINO in the Room: Leveraging 2D Foundation Models for 3D SegmentationCode2
No Thing, Nothing: Highlighting Safety-Critical Classes for Robust LiDAR Semantic Segmentation in Adverse Weather—0
Label-Efficient LiDAR Semantic Segmentation with 2D-3D Vision Transformer Adapters—0
FLARES: Fast and Accurate LiDAR Multi-Range Semantic Segmentation—0
SynthmanticLiDAR: A Synthetic Dataset for Semantic Segmentation on LiDAR ImagingCode0
3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous DrivingCode1
4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic SegmentationCode0
PC-BEV: An Efficient Polar-Cartesian BEV Fusion Framework for LiDAR Semantic SegmentationCode1
Hierarchical Context Alignment with Disentangled Geometric and Temporal Modeling for Semantic Occupancy Prediction—0
Calibrated and Efficient Sampling-Free Confidence Estimation for LiDAR Scene Semantic Segmentation—0
Multi-modal NeRF Self-Supervision for LiDAR Semantic Segmentation—0
CLOUDSPAM: Contrastive Learning On Unlabeled Data for Segmentation and Pre-Training Using Aggregated Point Clouds and MoCoCode0
Railway LiDAR semantic segmentation based on intelligent semi-automated data annotation—0
Are We Ready for Real-Time LiDAR Semantic Segmentation in Autonomous Driving?—0
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic SegmentationCode0
TeFF: Tracking-enhanced Forgetting-free Few-shot 3D LiDAR Semantic SegmentationCode0
Exploring Scene Affinity for Semi-Supervised LiDAR Semantic SegmentationCode0
Comparison of lidar semantic segmentation performance on the structured SemanticKITTI and off-road RELLIS-3D datasets—0
MILAN: Milli-Annotations for Lidar Semantic Segmentation—0
Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model—0
SFPNet: Sparse Focal Point Network for Semantic Segmentation on General LiDAR Point CloudsCode2
RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR SegmentationCode1
TASeg: Temporal Aggregation Network for LiDAR Semantic SegmentationCode1
ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic SegmentationCode1
Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse WeatherCode2
SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point CloudCode2
A Preprocessing and Postprocessing Voxel-based Method for LiDAR Semantic Segmentation Improvement in Long Distance—0
Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous DrivingCode3
ELiTe: Efficient Image-to-LiDAR Knowledge Transfer for Semantic Segmentation—0
Weakly Supervised LiDAR Semantic Segmentation via Scatter Image Annotation—0
A Point-Based Approach to Efficient LiDAR Multi-Task Perception—0
Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation—0
UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather—0
Is Your LiDAR Placement Optimized for 3D Scene Understanding?Code2
LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse KernelsCode2
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic SegmentationCode0
Reflectivity Is All You Need!: Advancing LiDAR Semantic SegmentationCode1
LVIC: Multi-modality segmentation by Lifting Visual Info as Cue—0
Off-Road LiDAR Intensity Based Semantic SegmentationCode1
Rethinking LiDAR Domain Generalization: Single Source as Multiple Density DomainsCode0
Point Transformer V3: Simpler, Faster, StrongerCode3
FRNet: Frustum-Range Networks for Scalable LiDAR SegmentationCode2
2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation—0
COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving—0
MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory—0
Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation—0
ParisLuco3D: A high-quality target dataset for domain generalization of LiDAR perception—0
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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