Papers with Code 아카이브
LIDAR Semantic Segmentation
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather
NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation
DINO in the Room: Leveraging 2D Foundation Models for 3D Segmentation
No Thing, Nothing: Highlighting Safety-Critical Classes for Robust LiDAR Semantic Segmentation in Adverse Weather
Label-Efficient LiDAR Semantic Segmentation with 2D-3D Vision Transformer Adapters
FLARES: Fast and Accurate LiDAR Multi-Range Semantic Segmentation
SynthmanticLiDAR: A Synthetic Dataset for Semantic Segmentation on LiDAR Imaging
3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving
4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation
PC-BEV: An Efficient Polar-Cartesian BEV Fusion Framework for LiDAR Semantic Segmentation
Hierarchical Context Alignment with Disentangled Geometric and Temporal Modeling for Semantic Occupancy Prediction
Calibrated and Efficient Sampling-Free Confidence Estimation for LiDAR Scene Semantic Segmentation
Multi-modal NeRF Self-Supervision for LiDAR Semantic Segmentation
Railway LiDAR semantic segmentation based on intelligent semi-automated data annotation
Are We Ready for Real-Time LiDAR Semantic Segmentation in Autonomous Driving?
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation
TeFF: Tracking-enhanced Forgetting-free Few-shot 3D LiDAR Semantic Segmentation
Exploring Scene Affinity for Semi-Supervised LiDAR Semantic Segmentation
MILAN: Milli-Annotations for Lidar Semantic Segmentation
Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model
SFPNet: Sparse Focal Point Network for Semantic Segmentation on General LiDAR Point Clouds
RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation
TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation
ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation
Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather
SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point Cloud
A Preprocessing and Postprocessing Voxel-based Method for LiDAR Semantic Segmentation Improvement in Long Distance
Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving
ELiTe: Efficient Image-to-LiDAR Knowledge Transfer for Semantic Segmentation
A Point-Based Approach to Efficient LiDAR Multi-Task Perception
Weakly Supervised LiDAR Semantic Segmentation via Scatter Image Annotation
Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation
UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather
Is Your LiDAR Placement Optimized for 3D Scene Understanding?
LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.