There are 26 repositories under 3d-object-detection topic.
OpenMMLab's next-generation platform for general 3D object detection.
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"
KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
alfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhihu.com/p/341446046
Paper reading notes on Deep Learning and Machine Learning
The official PyTorch Implementation of RTM3D and KM3D for Monocular 3D Object Detection
CIA-SSD: Confident IoU-Aware Single Stage Object Detector From Point Cloud, AAAI 2021.
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
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.
Unofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)
Paper and Codes for “Embracing Single Stride 3D Object Detector with Sparse Transformer” (CVPR 2022)
The PyTorch Implementation of F-ConvNet for 3D Object Detection
The AAAI-2020 Paper(Oral):"TANet: Robust 3D Object Detection from Point Clouds with Triple Attention"
A lightweight tool for labeling 3D bounding boxes in point clouds.
YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018)
Code release for Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation (CVPR 2020, TPAMI 2021)
EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection(ECCV 2020)
[ECCV-20] Official PyTorch implementation of HoughNet, a voting-based object detector.
[WACV2022] ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection
3D detection and tracking viewer (visualization) for kitti & waymo dataset
Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds (CVPR 2022, Oral)
Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"
Cooperative Driving Dataset: a dataset for multi-agent driving scenarios
Detect object in 3D with Point Cloud and Image.
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection