Trending repositories for topic 3d-object-detection

YOLO 3D Object Detection for Autonomous Driving Vehicle

YOLO 3D Object Detection for Autonomous Driving Vehicle

OpenMMLab's next-generation platform for general 3D object detection.

An extension of Open3D to address 3D Machine Learning tasks

YOLO 3D Object Detection for Autonomous Driving Vehicle

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11 for ROS 2

[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation

Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception

[NeurIPS 2024] Official code of ”LION: Linear Group RNN for 3D Object Detection in Point Clouds“

3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023)

[ICCV 2023] OccNet: Scene as Occupancy

OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection

The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).

Paper reading notes on Deep Learning and Machine Learning

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

Complex YOLO ROS is a 3D object detection system interfaced with ROS, enabling real-time robotics applications. It utilizes Lidar data and deep learning techniques for accurate detection and localizat...

[AAAI2025] UniDet3D: Multi-dataset Indoor 3D Object Detection

[ECCV 2024] Ray Denoising (RayDN): Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection

[ICLR2024] HEAL: An Extensible Framework for Open Heterogeneous Collaborative Perception ➡️ All You Need for Multi-Modality Collaborative Perception!

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that wer...

OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection

Complex YOLO ROS is a 3D object detection system interfaced with ROS, enabling real-time robotics applications. It utilizes Lidar data and deep learning techniques for accurate detection and localizat...

[NeurIPS 2024] Official code of ”LION: Linear Group RNN for 3D Object Detection in Point Clouds“

YOLO 3D Object Detection for Autonomous Driving Vehicle

[AAAI2025] UniDet3D: Multi-dataset Indoor 3D Object Detection

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11 for ROS 2

[ECCV 2024] Ray Denoising (RayDN): Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection

[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation

The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).

[ICLR2024] HEAL: An Extensible Framework for Open Heterogeneous Collaborative Perception ➡️ All You Need for Multi-Modality Collaborative Perception!

Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception

3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023)

[ICCV 2023] OccNet: Scene as Occupancy

An extension of Open3D to address 3D Machine Learning tasks

OpenMMLab's next-generation platform for general 3D object detection.

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that wer...

Paper reading notes on Deep Learning and Machine Learning

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

OpenMMLab's next-generation platform for general 3D object detection.

An extension of Open3D to address 3D Machine Learning tasks

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11 for ROS 2

Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception

3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023)

Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).

Paper reading notes on Deep Learning and Machine Learning

[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation

[NeurIPS 2024] Official code of ”LION: Linear Group RNN for 3D Object Detection in Point Clouds“

A lightweight tool for labeling 3D bounding boxes in point clouds.

YOLO 3D Object Detection for Autonomous Driving Vehicle

[ICCV 2023] SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos

[ECCV2024] This is the official implementation of GraphBEV, a BEV multi-modal framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection

[AAAI2025] UniDet3D: Multi-dataset Indoor 3D Object Detection

[ICCV 2023] OccNet: Scene as Occupancy

[ECCV 2024] Ray Denoising (RayDN): Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection

[CVPR 2024] Memory-based Adapters for Online 3D Scene Perception

[ICCV2023] Official Implementation of "UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation"

Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds (CVPR 2022, Oral)

OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection

[ECCV2024] This is the official implementation of GraphBEV, a BEV multi-modal framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

[AAAI2025] UniDet3D: Multi-dataset Indoor 3D Object Detection

[IV'24] UniBEV: the official implementation of UniBEV

[ECCV 2024] Official implementation for "RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception"

[ECCV 2024] Ray Denoising (RayDN): Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection

[NeurIPS 2024] Official code of ”LION: Linear Group RNN for 3D Object Detection in Point Clouds“

Complex YOLO ROS is a 3D object detection system interfaced with ROS, enabling real-time robotics applications. It utilizes Lidar data and deep learning techniques for accurate detection and localizat...

[CVPR 2024] Memory-based Adapters for Online 3D Scene Perception

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11 for ROS 2

The official repo for [AAAI 2024] "SimDistill: Simulated Multi-modal Distillation for BEV 3D Object Detection""

Implementation of PointPillars Network with LiDAR-camera fusion for 3D Object Detection in Autonomous Driving.

YOLO 3D Object Detection for Autonomous Driving Vehicle

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

Transformation-Equivariant 3D Object Detection for Autonomous Driving

[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation

Official codebase of HyDRa.

Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception

[CVPR 2024] Official PyTorch Code of SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects

3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023)

[ICLR2024] HEAL: An Extensible Framework for Open Heterogeneous Collaborative Perception ➡️ All You Need for Multi-Modality Collaborative Perception!

[NeurIPS 2024] Official code of ”LION: Linear Group RNN for 3D Object Detection in Point Clouds“

[ECCV 2024] Ray Denoising (RayDN): Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection

[CVPR 2024] Official PyTorch Code of SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects

[ECCV2024] This is the official implementation of GraphBEV, a BEV multi-modal framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

[AAAI2025] UniDet3D: Multi-dataset Indoor 3D Object Detection

Official implementation of the paper " FusionVision: A comprehensive approach of 3D object reconstruction and segmentation from RGB-D cameras using YOLO and fast segment anything "

Official codebase of HyDRa.

OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection

[IV'24] UniBEV: the official implementation of UniBEV

[ECCV 2024] Official implementation for "RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception"

OpenMMLab's next-generation platform for general 3D object detection.

An extension of Open3D to address 3D Machine Learning tasks

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11 for ROS 2

[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation

Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception

Paper reading notes on Deep Learning and Machine Learning

[ICLR2024] HEAL: An Extensible Framework for Open Heterogeneous Collaborative Perception ➡️ All You Need for Multi-Modality Collaborative Perception!

[ICCV 2023] OccNet: Scene as Occupancy

[ICCV 2023] SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)

A lightweight tool for labeling 3D bounding boxes in point clouds.

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).

[NeurIPS 2024] Official code of ”LION: Linear Group RNN for 3D Object Detection in Point Clouds“

[CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

YOLO 3D Object Detection for Autonomous Driving Vehicle

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

[CVPR 2024] Memory-based Adapters for Online 3D Scene Perception

[CVPR2023] Official Implementation of "DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets"

[CVPR 2024] Memory-based Adapters for Online 3D Scene Perception

Official codebase of HyDRa.

[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation

Complex YOLO ROS is a 3D object detection system interfaced with ROS, enabling real-time robotics applications. It utilizes Lidar data and deep learning techniques for accurate detection and localizat...

[NeurIPS 2024] Official code of ”LION: Linear Group RNN for 3D Object Detection in Point Clouds“

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11 for ROS 2

TUM Traffic Dataset Development Kit

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

[AAAI2024] Far3D: Expanding the Horizon for Surround-view 3D Object Detection

The official repo for [AAAI 2024] "SimDistill: Simulated Multi-modal Distillation for BEV 3D Object Detection""

[ICCV 2023] SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos

[TPAMI 2024] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

YOLO 3D Object Detection for Autonomous Driving Vehicle

DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation (ICCV 2023)

Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception

Implementation of PointPillars Network with LiDAR-camera fusion for 3D Object Detection in Autonomous Driving.

Auto-labeling of point cloud sequences for 3D object detection using an ensemble of experts and temporal refinement

[ICCV2023] Official Implementation of "UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation"

[ICIP2023] TR3D: Towards Real-Time Indoor 3D Object Detection

PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds (CVPR 2023)