SOTAVerified

LIDAR Semantic Segmentation

Papers

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Showing 51–100 of 129 papers

TitleStatusHype
Pit30M: A Benchmark for Global Localization in the Age of Self-Driving CarsCode1
KPConv: Flexible and Deformable Convolution for Point CloudsCode1
TASeg: Temporal Aggregation Network for LiDAR Semantic SegmentationCode1
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic SegmentationCode1
KPRNet: Improving projection-based LiDAR semantic segmentationCode1
RangeNet++: Fast and Accurate LiDAR Semantic SegmentationCode1
RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR SegmentationCode1
Reflectivity Is All You Need!: Advancing LiDAR Semantic SegmentationCode1
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR SegmentationCode1
Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse DataCode1
FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware ModellingCode1
Rethinking LiDAR Domain Generalization: Single Source as Multiple Density DomainsCode0
HuBo-VLM: Unified Vision-Language Model designed for HUman roBOt interaction tasksCode0
Efficient LiDAR Point Cloud Oversegmentation NetworkCode0
NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic SegmentationCode0
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain ConcatenationCode0
Point-to-Voxel Knowledge Distillation for LiDAR Semantic SegmentationCode0
SynthmanticLiDAR: A Synthetic Dataset for Semantic Segmentation on LiDAR ImagingCode0
4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic SegmentationCode0
Exploring Scene Affinity for Semi-Supervised LiDAR Semantic SegmentationCode0
CLOUDSPAM: Contrastive Learning On Unlabeled Data for Segmentation and Pre-Training Using Aggregated Point Clouds and MoCoCode0
PolarStream: Streaming Lidar Object Detection and Segmentation with Polar PillarsCode0
TeFF: Tracking-enhanced Forgetting-free Few-shot 3D LiDAR Semantic SegmentationCode0
BaSAL: Size-Balanced Warm Start Active Learning for LiDAR Semantic SegmentationCode0
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic SegmentationCode0
ConvPoint: Continuous Convolutions for Point Cloud ProcessingCode0
3D Semantic Segmentation with Submanifold Sparse Convolutional NetworksCode0
COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving—0
Cross-modal & Cross-domain Learning for Unsupervised LiDAR Semantic Segmentation—0
Deformable Filter Convolution for Point Cloud Reasoning—0
Discwise Active Learning for LiDAR Semantic Segmentation—0
Domain Adaptation in LiDAR Semantic Segmentation by Aligning Class Distributions—0
ELiTe: Efficient Image-to-LiDAR Knowledge Transfer for Semantic Segmentation—0
Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation—0
Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks—0
Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving—0
FLARES: Fast and Accurate LiDAR Multi-Range Semantic Segmentation—0
Weakly Supervised LiDAR Semantic Segmentation via Scatter Image Annotation—0
Hierarchical Context Alignment with Disentangled Geometric and Temporal Modeling for Semantic Occupancy Prediction—0
Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation—0
Domain Adaptation in LiDAR Semantic Segmentation via Alternating Skip Connections and Hybrid Learning—0
Input-Output Balanced Framework for Long-tailed LiDAR Semantic Segmentation—0
Instant Domain Augmentation for LiDAR Semantic Segmentation—0
Label-Efficient LiDAR Semantic Segmentation with 2D-3D Vision Transformer Adapters—0
Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters—0
Learning 3D Semantic Segmentation with only 2D Image Supervision—0
Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentation—0
LEST: Large-scale LiDAR Semantic Segmentation with Transformer—0
LidarMultiNet: Unifying LiDAR Semantic Segmentation, 3D Object Detection, and Panoptic Segmentation in a Single Multi-task Network—0
LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation—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