3d Object Detection Open Source Projects

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

An extension of Open3D to address 3D Machine Learning tasks

World's first general purpose 3D object detection codebse.

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 dealing with medical images.

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

Paper reading notes on Deep Learning and Machine Learning

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

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

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

Ultralytics YOLOv8 for ROS 2

alfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhihu.com/p/341446046

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).

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

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

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

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

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

[ICCV 2023] OccNet: Scene as Occupancy

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 were used to develop and evaluate the performance of the proposed method.

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

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

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

[ICCV 2023 & TPAMI 2026] SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos

A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.

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

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

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

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

🔥3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)

YOLO 3D Object Detection for Autonomous Driving Vehicle

Focal Sparse Convolutional Networks for 3D Object Detection (CVPR 2022, Oral)

Virtual Sparse Convolution for Multimodal 3D Object Detection

CIA-SSD: Confident IoU-Aware Single Stage Object Detector From Point Cloud, AAAI 2021.

[ICCV'23] Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

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

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

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

YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018)

Unofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)

Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion (CVPR 2022, Oral)

[CVPR2023] LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion

The AAAI-2020 Paper(Oral):"TANet: Robust 3D Object Detection from Point Clouds with Triple Attention"

The PyTorch Implementation of F-ConvNet for 3D Object Detection

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

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

[WACV2022] ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection

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

Code release for Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation (CVPR 2020, TPAMI 2021)

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

(T-IV, ITSC) Auto-labeling of point cloud sequences for 3D object detection using an ensemble of experts and temporal refinement

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

[ECCV2022] FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection

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

Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"

Transformation-Equivariant 3D Object Detection for Autonomous Driving

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

[ECCV-20] Official PyTorch implementation of HoughNet, a voting-based object detector.

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

An SDK for multi-agent collaborative perception.

[NeurIPS2021] Learning Distilled Collaboration Graph for Multi-Agent Perception