3d Object Detection
Showing 12 of 12 projects
An open-source PyTorch toolbox for general 3D object detection, supporting LiDAR, camera, and multi-modal models.
A PyTorch-based toolbox for LiDAR-based 3D object detection, supporting multiple state-of-the-art models and datasets.
A PyTorch-based toolbox for LiDAR-based 3D object detection, supporting multiple state-of-the-art models and datasets.
A large-scale dataset of object-centric video clips with 3D bounding box annotations and AR metadata for 3D object detection research.
An end-to-end 3D object detection network that uses deep point set networks and Hough voting to directly detect objects in point clouds.
A deep learning pipeline for 3D object detection from RGB-D data by combining 2D detectors with PointNet-based 3D processing.
A general-purpose PyTorch codebase for 3D object detection with state-of-the-art model implementations and multi-dataset support.
A PyTorch implementation for super fast and accurate 3D object detection using LiDAR point clouds, featuring an anchor-free approach.
Monocular 3D object detection and SLAM system that detects and tracks cuboids to estimate camera and object poses.
A single-stage 3D object detector for point clouds that improves localization precision by explicitly leveraging structure information.
A 3D vision library for monocular and stereo 3D human detection, social distancing, and body orientation estimation from 2D keypoints.
A 3D object detection method that exploits visibility information from LiDAR point clouds to improve accuracy.
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