SOTAVerified

LIDAR Semantic Segmentation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 129 papers

TitleStatusHype
EPMF: Efficient Perception-aware Multi-sensor Fusion for 3D Semantic SegmentationCode1
Pit30M: A Benchmark for Global Localization in the Age of Self-Driving CarsCode1
FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware ModellingCode1
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR SegmentationCode1
Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic SegmentationCode1
KPRNet: Improving projection-based LiDAR semantic segmentationCode1
FKAConv: Feature-Kernel Alignment for Point Cloud ConvolutionCode1
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic SegmentationCode1
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic SegmentationCode1
RangeNet++: Fast and Accurate LiDAR Semantic SegmentationCode1
KPConv: Flexible and Deformable Convolution for Point CloudsCode1
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
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
4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic SegmentationCode0
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
A Preprocessing and Postprocessing Voxel-based Method for LiDAR Semantic Segmentation Improvement in Long Distance—0
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
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic SegmentationCode0
LVIC: Multi-modality segmentation by Lifting Visual Info as Cue—0
Rethinking LiDAR Domain Generalization: Single Source as Multiple Density DomainsCode0
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
BaSAL: Size-Balanced Warm Start Active Learning for LiDAR Semantic SegmentationCode0
Discwise Active Learning for LiDAR Semantic Segmentation—0
SPOT: Scalable 3D Pre-training via Occupancy Prediction for Learning Transferable 3D RepresentationsCode0
TFNet: Exploiting Temporal Cues for Fast and Accurate LiDAR Semantic Segmentation—0
SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation—0
HuBo-VLM: Unified Vision-Language Model designed for HUman roBOt interaction tasksCode0
Show:102550
← PrevPage 2 of 3Next →
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