Trending repositories for topic 3d-object-detection

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

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

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11, YOLOv12 for ROS 2

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

An extension of Open3D to address 3D Machine Learning tasks

[RAL 2025]. SGDet3D: Semantics and Geometry Fusion for 3D Object Detection Using 4D Radar and Camera.

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

[CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds

Paper reading notes on Deep Learning and Machine Learning

[RAL 2025]. SGDet3D: Semantics and Geometry Fusion for 3D Object Detection Using 4D Radar and Camera.

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

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

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11, YOLOv12 for ROS 2

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

[CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds

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

An extension of Open3D to address 3D Machine Learning tasks

Paper reading notes on Deep Learning and Machine Learning

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

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11, YOLOv12 for ROS 2

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

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

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

[RAL 2025]. SGDet3D: Semantics and Geometry Fusion for 3D Object Detection Using 4D Radar and Camera.

[CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds

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

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

SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

An extension of Open3D to address 3D Machine Learning tasks

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 "

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

YOLO 3D Object Detection for Autonomous Driving Vehicle

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

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

Paper reading notes on Deep Learning and Machine Learning

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on deal...

[RAL 2025]. SGDet3D: Semantics and Geometry Fusion for 3D Object Detection Using 4D Radar and Camera.

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11, YOLOv12 for ROS 2

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 "

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

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

[CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds

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

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

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

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

YOLO 3D Object Detection for Autonomous Driving Vehicle

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

SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

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

An extension of Open3D to address 3D Machine Learning tasks

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

Paper reading notes on Deep Learning and Machine Learning

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on deal...

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

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11, YOLOv12 for ROS 2

An extension of Open3D to address 3D Machine Learning tasks

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

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

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

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

Argoverse 2: Next generation datasets for self-driving perception and forecasting.

YOLO 3D Object Detection for Autonomous Driving Vehicle

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...

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).

3D detection and tracking viewer (visualization) for kitti & waymo dataset

SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

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

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

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

Virtual Sparse Convolution for Multimodal 3D Object Detection

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

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

[RAL 2025]. SGDet3D: Semantics and Geometry Fusion for 3D Object Detection Using 4D Radar and Camera.

[RAL 2025]. SGDet3D: Semantics and Geometry Fusion for 3D Object Detection Using 4D Radar and Camera.

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11, YOLOv12 for ROS 2

Official codebase of HyDRa.

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 "

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

[AAAI2025] UniDet3D: Multi-dataset Indoor 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...

Argoverse 2: Next generation datasets for self-driving perception and forecasting.

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

YOLO 3D Object Detection for Autonomous Driving Vehicle

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

[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.

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

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

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

Virtual Sparse Convolution for Multimodal 3D Object Detection

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

A Cascade Attention Network for 3D Object Detection from LiDAR point clouds

An extension of Open3D to address 3D Machine Learning tasks

Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection (NeurIPS 2022)

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

[AAAI2025] UniDet3D: Multi-dataset Indoor 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.

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

[RAL 2025]. SGDet3D: Semantics and Geometry Fusion for 3D Object Detection Using 4D Radar and Camera.

[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.

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11, YOLOv12 for ROS 2

An extension of Open3D to address 3D Machine Learning tasks

[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

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

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

[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.

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

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

[ICCV 2023] OccNet: Scene as Occupancy

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

YOLO 3D Object Detection for Autonomous Driving Vehicle

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).

[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.

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

3D detection and tracking viewer (visualization) for kitti & waymo dataset

Virtual Sparse Convolution for Multimodal 3D Object Detection

[RAL 2025]. SGDet3D: Semantics and Geometry Fusion for 3D Object Detection Using 4D Radar and Camera.

[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

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11, YOLOv12 for ROS 2

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...

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 "

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

Official codebase of HyDRa.

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

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

TUM Traffic Dataset Development Kit

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

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

A collection of papers about knowledge distillation in autonomous driving.

B. Sc. Thesis concerning the semi-automatic creation of a digital twin of a traffic scene near Amirkabir University of Technology

[AAAI2024] Far3D: Expanding the Horizon for Surround-view 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

[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