Trending repositories for topic 3d-object-detection

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

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11 for ROS 2

An extension of Open3D to address 3D Machine Learning tasks

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

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

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 "

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11 for ROS 2

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

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

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

An extension of Open3D to address 3D Machine Learning tasks

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

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11 for ROS 2

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

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

An extension of Open3D to address 3D Machine Learning tasks

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

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

Virtual Sparse Convolution for Multimodal 3D Object Detection

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

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

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

TUM Traffic Dataset Development Kit

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 "

[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.

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

[ECCV 2022] Official PyTorch Code of DEVIANT: Depth Equivariant Network for Monocular 3D Object Detection

YOLO 3D Object Detection for Autonomous Driving Vehicle

[ECCV2022] Official Implementation of paper "V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer"

[ICCV 2023] OccNet: Scene as Occupancy

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

TUM Traffic Dataset Development Kit

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11 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 "

[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.

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

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

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

Virtual Sparse Convolution for Multimodal 3D Object Detection

[ECCV 2022] Official PyTorch Code of DEVIANT: Depth Equivariant Network for Monocular 3D Object Detection

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

YOLO 3D Object Detection for Autonomous Driving Vehicle

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

[ECCV2022] Official Implementation of paper "V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer"

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)

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

An extension of Open3D to address 3D Machine Learning tasks

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

[ICCV 2023] OccNet: Scene as Occupancy

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

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

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11 for ROS 2

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

An extension of Open3D to address 3D Machine Learning tasks

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

[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.

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

YOLO 3D Object Detection for Autonomous Driving Vehicle

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

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

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

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

UniDet3D: Multi-dataset Indoor 3D Object Detection

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

[ICCV 2023] OccNet: Scene as Occupancy

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

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

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

Paper reading notes on Deep Learning and Machine Learning

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

[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.

UniDet3D: Multi-dataset Indoor 3D Object Detection

TUM Traffic Dataset Development Kit

[ECCV 2024] Ray Denoising (RayDN): Depth-aware Hard Negative Sampling for Multi-view 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 "

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11 for ROS 2

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

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

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

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

YOLO 3D Object Detection for Autonomous Driving Vehicle

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

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

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

Virtual Sparse Convolution for Multimodal 3D Object Detection

[ECCV2022] Official Implementation of paper "V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer"

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

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

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

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

[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“

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

[ECCV 2024] Ray Denoising (RayDN): Depth-aware Hard Negative Sampling for Multi-view 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.

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.

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

An extension of Open3D to address 3D Machine Learning tasks

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

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

[ICCV 2023] OccNet: Scene as Occupancy

Paper reading notes on Deep Learning and Machine Learning

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

[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)

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

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).

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

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

[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

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

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

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

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

Official codebase of HyDRa.

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

Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11 for ROS 2

TUM Traffic Dataset Development Kit

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

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

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

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

YOLO 3D Object Detection for Autonomous Driving Vehicle

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

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

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

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

[ICCV 2023] OccNet: Scene as Occupancy

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

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