Topic: nuscenes Goto Github
Some thing interesting about nuscenes
Some thing interesting about nuscenes
nuscenes,[ECCV 2022] Official PyTorch Code of DEVIANT: Depth Equivariant Network for Monocular 3D Object Detection
User: abhi1kumar
Home Page: https://arxiv.org/abs/2207.10758
nuscenes,[CVPR 2024] Official PyTorch Code of SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
User: abhi1kumar
Home Page: https://arxiv.org/pdf/2403.20318.pdf
nuscenes,Official PyTorch Implementation of HTCL (ECCV 2024): Hierarchical Temporal Context Learning for Camera-based Semantic Scene Completion
User: arlo0o
Home Page: https://github.com/Arlo0o/HTCL
nuscenes,YOLOv8-3D is a LowCode, Simple 2D and 3D Bounding Box Object Detection and Tracking , Python 3.10
User: bharath5673
nuscenes,CenterFusion++ is a frustum propsal-based camera and radar sensor fusion network.
User: brandesjj
nuscenes,Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation (CVPR 2022)
User: cardwing
nuscenes,The official implementation of "Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting" presented in ECCV2022.
User: d1024choi
nuscenes,[CoRL2022] CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers
User: derrickxunu
nuscenes,Focal Sparse Convolutional Networks for 3D Object Detection (CVPR 2022, Oral)
Organization: dvlab-research
Home Page: https://arxiv.org/abs/2204.12463
nuscenes,LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs (CVPR 2023)
Organization: dvlab-research
Home Page: https://arxiv.org/abs/2206.10555
nuscenes,The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).
Organization: dvlab-research
nuscenes,VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)
Organization: dvlab-research
Home Page: https://arxiv.org/abs/2303.11301
nuscenes,三维点云数据集下载sh脚本(目标检测,语义分割, ...)
User: huangcongqing
nuscenes,[ECCV 2024] Ray Denoising (RayDN): Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection
User: liewfeng
Home Page: https://arxiv.org/abs/2402.03634
nuscenes,Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving (NeurIPS 2020)
User: manojbhat09
nuscenes,Fusion of LiDAR and depth camera data with deep learning for object detection and classification
User: matnay
nuscenes,This repository provides awesome research papers for autonomous driving perception. If you do find a problem or have any suggestions, please raise this as an issue or make a pull request with information (format of the repo): Research paper title, datasets, metrics, objects, source code, publisher, and year.
User: maudzung
Home Page: https://github.com/maudzung/Awesome-Autonomous-Driving-Papers
nuscenes,[CVPR 2023] LinK: Linear Kernel for LiDAR-based 3D Perception
Organization: mcg-nju
nuscenes,[CVPRW 2024]Official PyTorch Implementation of "LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints"
User: mengmengliu1998
nuscenes,3D object detection on the nuScenes dataset
User: mikes96
nuscenes,Code for "Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals," CoRL 2021.
User: nachiket92
Home Page: https://proceedings.mlr.press/v164/deo22a.html
nuscenes,Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception
Organization: nvlabs
nuscenes,Full Scale Monocular Depth Prediction. Official Implementation of "FSNet: Redesign Self-Supervised MonoDepth for Full-Scale Depth Prediction for Autonomous Driving" https://arxiv.org/abs/2304.10719
User: owen-liuyuxuan
Home Page: https://sites.google.com/view/fsnet/
nuscenes,Visualize nuScenes sequences on ROS with full tf support.
User: owen-liuyuxuan
nuscenes,Open source training framework for vision tasks. Scales up on data and scales up on tasks. Official Implementation for https://arxiv.org/abs/2310.00920
User: owen-liuyuxuan
Home Page: https://sites.google.com/view/fmaafmono3d
nuscenes,A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.
Organization: paddlepaddle
nuscenes,[CVPR'23] OpenScene: 3D Scene Understanding with Open Vocabularies
User: pengsongyou
Home Page: https://pengsongyou.github.io/openscene
nuscenes,Official codebase of HyDRa.
User: phi-wol
Home Page: https://arxiv.org/abs/2403.07746
nuscenes,3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023)
User: pointscoder
Home Page: https://link.springer.com/article/10.1007/s11263-023-01790-1
nuscenes,Learning to Drive with GPT
User: pointscoder
Home Page: https://pointscoder.github.io/projects/gpt_driver/index.html
nuscenes,A New 3D Detector. Code Will be made public.
User: poodarchu
nuscenes,Code for Langer et al. "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks", IROS, 2020.
Organization: prbonn
nuscenes,A tool to visualize nuscenes format dataset in 3D using mayavi
User: pyaf
Home Page: https://www.youtube.com/watch?v=ivmiN4zvRTo
nuscenes,This repo parallelizes mAP_evaluation using python's multiprocessing module.
User: pyaf
nuscenes,DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation (ICCV 2023)
User: qcraftai
nuscenes,Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)
User: qcraftai
nuscenes,PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds (CVPR 2023)
User: qcraftai
nuscenes,Exploring Simple 3D Multi-Object Tracking for Autonomous Driving (ICCV 2021)
User: qcraftai
nuscenes,Transcendental Idealism of Planner: Evaluating Perception from Planning Perspective for Autonomous Driving (ICML 2023)
User: qcraftai
nuscenes,3D Multi-Object Tracking Using Graph Neural Networks with Cross-Edge Modality Attention. http://batch3dmot.cs.uni-freiburg.de
Organization: robot-learning-freiburg
nuscenes,[WACV2022] ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection
Organization: samsunglabs
nuscenes,Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).
Organization: stanfordasl
nuscenes,SECOND for KITTI/NuScenes object detection
User: traveller59
nuscenes,Implementation of PF-Track
Organization: tri-ml
nuscenes,A collection of ego-motion estimation projects for AD/ADAS functions
User: uditbhaskar19
nuscenes,World's first general purpose 3D object detection codebse.
Organization: v2ai
Home Page: https://arxiv.org/abs/1908.09492
nuscenes,An Efficient, Flexible, and General deep learning framework that retains minimal.
Organization: v2ai
Home Page: https://efg.readthedocs.io
nuscenes,Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
User: xinge008
nuscenes,2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) :fire:
User: yanx27
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