SOTAVerified

LIDAR Semantic Segmentation

Papers

Showing 150 of 129 papers

TitleStatusHype
Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous DrivingCode3
Point Transformer V3: Simpler, Faster, StrongerCode3
Attention Is All You NeedCode3
LaserMix for Semi-Supervised LiDAR Semantic SegmentationCode2
Benchmarking the Robustness of LiDAR Semantic Segmentation ModelsCode2
PolarMix: A General Data Augmentation Technique for LiDAR Point CloudsCode2
Spherical Transformer for LiDAR-based 3D RecognitionCode2
UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg CodebaseCode2
LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse KernelsCode2
Point Transformer V2: Grouped Vector Attention and Partition-based PoolingCode2
Searching Efficient 3D Architectures with Sparse Point-Voxel ConvolutionCode2
DINO in the Room: Leveraging 2D Foundation Models for 3D SegmentationCode2
Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse WeatherCode2
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point CloudsCode2
Is Your LiDAR Placement Optimized for 3D Scene Understanding?Code2
Scribble-Supervised LiDAR Semantic SegmentationCode2
SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point CloudCode2
SSD: Single Shot MultiBox DetectorCode2
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point CloudsCode2
FRNet: Frustum-Range Networks for Scalable LiDAR SegmentationCode2
OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy PredictionCode2
SFPNet: Sparse Focal Point Network for Semantic Segmentation on General LiDAR Point CloudsCode2
PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training ParadigmCode2
RangeNet++: Fast and Accurate LiDAR Semantic SegmentationCode1
Online Segmentation of LiDAR Sequences: Dataset and AlgorithmCode1
RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR SegmentationCode1
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR SegmentationCode1
CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic SegmentationCode1
Cylinder3D: An Effective 3D Framework for Driving-scene 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
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic SegmentationCode1
Off-Road LiDAR Intensity Based Semantic SegmentationCode1
Generative Range Imaging for Learning Scene Priors of 3D LiDAR DataCode1
Open-world Semantic Segmentation for LIDAR Point CloudsCode1
Reflectivity Is All You Need!: Advancing LiDAR Semantic SegmentationCode1
Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature AggregationCode1
FIDNet: LiDAR Point Cloud Semantic Segmentation with Fully Interpolation DecodingCode1
FKAConv: Feature-Kernel Alignment for Point Cloud ConvolutionCode1
FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware ModellingCode1
CMDFusion: Bidirectional Fusion Network with Cross-modality Knowledge Distillation for LIDAR Semantic SegmentationCode1
LENet: Lightweight And Efficient LiDAR Semantic Segmentation Using Multi-Scale Convolution AttentionCode1
LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic SegmentationCode1
COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud SegmentationCode1
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic SegmentationCode1
Pit30M: A Benchmark for Global Localization in the Age of Self-Driving CarsCode1
KPConv: Flexible and Deformable Convolution for Point CloudsCode1
CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous DrivingCode1
GFNet: Geometric Flow Network for 3D Point Cloud Semantic SegmentationCode1
KPRNet: Improving projection-based LiDAR semantic segmentationCode1
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Benchmark Results

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