Trending repositories for topic 3d-object-detection

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

An extension of Open3D to address 3D Machine Learning tasks

UniDet3D: Multi-dataset Indoor 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

YOLO 3D Object Detection for Autonomous Driving Vehicle

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

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

Paper reading notes on Deep Learning and Machine Learning

UniDet3D: Multi-dataset Indoor 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

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

YOLO 3D Object Detection for Autonomous Driving Vehicle

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

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

Paper reading notes on Deep Learning and Machine Learning

UniDet3D: Multi-dataset Indoor 3D Object Detection

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

An extension of Open3D to address 3D Machine Learning tasks

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

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

Paper reading notes on Deep Learning and Machine Learning

[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.

Official repository of ”LION: Linear Group RNN for 3D Object Detection in Point Clouds“

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).

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...

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

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

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

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

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

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

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

GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation [IJCV2023]

YOLO 3D Object Detection for Autonomous Driving Vehicle

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.

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

Official repository of ”LION: Linear Group RNN for 3D Object Detection in Point Clouds“

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

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

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

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

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

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

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...

GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation [IJCV2023]

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).

Ultralytics YOLOv8, YOLOv9, YOLOv10 for ROS 2

Paper reading notes on Deep Learning and Machine Learning

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

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

An extension of Open3D to address 3D Machine Learning tasks

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

UniDet3D: Multi-dataset Indoor 3D Object Detection

OpenMMLab's next-generation platform for general 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.

An extension of Open3D to address 3D Machine Learning tasks

UniDet3D: Multi-dataset Indoor 3D Object Detection

Ultralytics YOLOv8, YOLOv9, YOLOv10 for ROS 2

Paper reading notes on Deep Learning and Machine Learning

[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

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

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

Official repository of ”LION: Linear Group RNN for 3D Object Detection in Point Clouds“

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

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

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...

[ICCV 2023] OccNet: Scene as Occupancy

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

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

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

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

[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.

Official repository of ”LION: Linear Group RNN for 3D Object Detection in Point Clouds“

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

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 for ROS 2

[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 "

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

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

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

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

3D Bounding Box Annotation Tool 2.0 (3D-BAT 2.0): Labeling of 3D LiDAR Point Clouds and Camera Images

GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation [IJCV2023]

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

TUM Traffic Dataset Development Kit

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

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"

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

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

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

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

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

Official repository of ”LION: Linear Group RNN for 3D Object Detection in Point Clouds“

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

[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.

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 "

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

Official codebase of HyDRa.

UniDet3D: Multi-dataset Indoor 3D Object Detection

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

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

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

[ICCV 2023] OccNet: Scene as Occupancy

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

Ultralytics YOLOv8, YOLOv9, YOLOv10 for ROS 2

Paper reading notes on Deep Learning and Machine Learning

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

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

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).

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

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

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

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

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

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

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

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

YOLO 3D Object Detection for Autonomous Driving Vehicle

Official codebase of HyDRa.

TUM Traffic Dataset Development Kit

Ultralytics YOLOv8, YOLOv9, YOLOv10 for ROS 2

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

Official repository of ”LION: Linear Group RNN for 3D Object Detection in Point Clouds“

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

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

[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

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

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

[ICCV 2023] OccNet: Scene as Occupancy

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

mmdetection3d 代码重点注解笔记

GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation [IJCV2023]

[ICCV 2023] Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

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

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

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

Virtual Sparse Convolution for Multimodal 3D Object Detection