l1997i / Rapid_Seg
π₯(ECCV 2024 Oral) RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation
β41Updated 6 months ago
Alternatives and similar repositories for Rapid_Seg:
Users that are interested in Rapid_Seg are comparing it to the libraries listed below
- Official code implementation of MambaMOSβ35Updated 6 months ago
- Multiple Sensor LiDAR Segmentationβ3Updated last year
- FRNet: Frustum-Range Networks for Scalable LiDAR Segmentationβ54Updated 9 months ago
- β87Updated last year
- [IEEE RA-L] Co-Occ: Coupling Explicit Feature Fusion with Volume Rendering Regularization for Multi-Modal 3D Semantic Occupancy Predictioβ¦β46Updated 4 months ago
- PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer (CVPR 2023)β44Updated last year
- The official implementation of "LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation" (CVPR 20β¦β85Updated 10 months ago
- Commonsense Prototype for Outdoor Unsupervised 3D Object Detection (CVPR 2024)β60Updated 5 months ago
- The official implementation of "Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation" (RA-L with IROS β¦β47Updated last year
- [CVPR2024] PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detectionβ63Updated 7 months ago
- Data and code for ECCV2024 paper "CMD: A Cross Mechanism Domain Adaptation Dataset for 3D Object Detection".β27Updated 4 months ago
- CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited Annotations(ICCV2023)β33Updated 7 months ago
- β25Updated last year
- Multi-Space Alignments Towards Universal LiDAR Segmentationβ41Updated 3 months ago
- [ICME 2022] CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Drivingβ105Updated last year
- This job is Non-official PyTorch implementation of the Range-Point-Voxel Funsion Network for lidar point cloud segmentation.β54Updated last year
- 3D HANet: A Flexible 3D Heatmap Auxiliary Network for Object Detection(TGRS)β27Updated 8 months ago
- Official repository for TPAMI2024 "A Survey of Label-Efficient Deep Learning for 3D Point Clouds"β55Updated last year
- [AAAI 2024] BEV-MAE: Bird's Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving Scenariosβ55Updated last month
- Official PyTorch implementation of the NeurIPS2022 paper "PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds"β70Updated last year
- Fully Sparse Transformer 3D Detector for LiDAR Point Cloudβ28Updated last year
- (CVPR 2023) The official project of "3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Cloudsβ¦β107Updated last year
- GussianPretrain for Visual Pre-training in Autonomous Driving, showcasing significant improvements across various 3D perception tasks, inβ¦β73Updated last week
- This repository is the latest model version corresponding to the paper 3DSFLabeling: Boosting 3D Scene Flow Estimation by Pseudo Auto Labβ¦β31Updated 8 months ago
- SCPNet: Semantic Scene Completion on Point Cloud (CVPR 2023, Highlight)β116Updated last year
- [ICRA 2024] PCB-RandNet: Rethinking Random Sampling for LiDAR Semantic Segmentation in Autonomous Driving Sceneβ23Updated last year
- π₯(CVPR 2023) Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentationβ89Updated 6 months ago
- β19Updated last year
- BSH-Det3D: Improving 3D Object Detection with BEV Shape Heatmapβ36Updated last year
- Official Code Release for "Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection" in NeurIPS 2β¦β21Updated 2 months ago