SOTAVerified

LIDAR Semantic Segmentation

Papers

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Showing 51–100 of 129 papers

TitleStatusHype
BaSAL: Size-Balanced Warm Start Active Learning for LiDAR Semantic SegmentationCode0
PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training ParadigmCode2
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
UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg CodebaseCode2
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
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
CMDFusion: Bidirectional Fusion Network with Cross-modality Knowledge Distillation for LIDAR Semantic SegmentationCode1
Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic SegmentationCode1
Knowledge Distillation from 3D to Bird's-Eye-View for LiDAR Semantic SegmentationCode1
OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy PredictionCode2
Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse DataCode1
Instant Domain Augmentation for LiDAR Semantic Segmentation—0
Spherical Transformer for LiDAR-based 3D RecognitionCode2
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
Using a Waffle Iron for Automotive Point Cloud Semantic SegmentationCode1
LENet: Lightweight And Efficient LiDAR Semantic Segmentation Using Multi-Scale Convolution AttentionCode1
Benchmarking the Robustness of LiDAR Semantic Segmentation ModelsCode2
Efficient LiDAR Point Cloud Oversegmentation NetworkCode0
Single Domain Generalization for LiDAR Semantic SegmentationCode1
LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic SegmentationCode1
Generative Range Imaging for Learning Scene Priors of 3D LiDAR DataCode1
Point Transformer V2: Grouped Vector Attention and Partition-based PoolingCode2
COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud SegmentationCode1
PCB-RandNet: Rethinking Random Sampling for LIDAR Semantic Segmentation in Autonomous Driving SceneCode1
PolarMix: A General Data Augmentation Technique for LiDAR Point CloudsCode2
CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous DrivingCode1
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR SegmentationCode1
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point CloudsCode2
GFNet: Geometric Flow Network for 3D Point Cloud Semantic SegmentationCode1
Open-world Semantic Segmentation for LIDAR Point CloudsCode1
LaserMix for Semi-Supervised LiDAR Semantic SegmentationCode2
LidarMultiNet: Unifying LiDAR Semantic Segmentation, 3D Object Detection, and Panoptic Segmentation in a Single Multi-task Network—0
Online Segmentation of LiDAR Sequences: Dataset and AlgorithmCode1
Point-to-Voxel Knowledge Distillation for LiDAR Semantic SegmentationCode0
Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation—0
CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic SegmentationCode1
Scribble-Supervised LiDAR Semantic SegmentationCode2
Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature AggregationCode1
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
FIDNet: LiDAR Point Cloud Semantic Segmentation with Fully Interpolation DecodingCode1
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