Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)
Awesome Monocular 3D detection
Official Repo for Ground-aware Monocular 3D Object Detection for Autonomous Driving / YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection
[ECCV 2022] Official PyTorch Code of DEVIANT: Depth Equivariant Network for Monocular 3D Object Detection
YOLOv8-3D is a LowCode, Simple 2D and 3D Bounding Box Object Detection and Tracking , Python 3.10
[CVPR 2024] Official PyTorch Code of SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
[CVPR 2021] Official PyTorch Code of GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection
#计算机科学#This repository contains unofficial pytorch implementations for SMOKE, MonoCon, GUPNet, MonoFlex and IDMS
A two stage multi-modal loss model along with rigid body transformations to regress 3D bounding boxes
Code for "Open Vocabulary Monocular 3D Object Detection"
MonoDINO-DETR: Depth-Enhanced Monocular 3D Object Detection Using a Vision Foundation Model
Akshay Rangesh and Mohan M. Trivedi, "Ground Plane Polling for 6DoF Pose Estimation of Objects on the Road," IEEE Transactions on Intelligent Vehicles, 2020.
GAC3D: Improving Monocular 3D Object Detection with Ground-Guide Model and Adaptive Convolution (PeerJ)
#计算机科学#Official repository for IEEE Transaction on Intelligent Transportation System, entitled "One Stage Monocular 3D Object Detection Utilizing Discrete Depth and Orientation Representation."
Monocular object detector implementation for Waymo multi-view training and evaluation. Includes code for adaption, evaluation, data augmentation and configuration.
#计算机科学#streamlit app for object detection, 3d bounding box drawing, 3d bounding box real life measurement
#计算机科学#PMOD-Net: point-cloud-map-based metric scale obstacle detection by using a monocular camera
Graduation thesis : "Monocular 3D Object Detection with Deep Learning"
PMOD-Net: point-cloud-map-based metric scale obstacle detection by using a monocular camera