IEEE

Metal Parts’ Zero-Shot 6D Pose Estimation via Foundation Model and Template Update for Industrial Scenario

Abstract: The 6D pose estimation for metal parts is essential in industrial robotic applications. Although the 6D pose estimation methods that rely on object-specific training have gained extensive ...
IEEE

Scale-Consistent Learnable PnP Network for Space Target Pose Estimation

Abstract: Due to constraints from imaging devices, the most effective method for estimating the pose of space target RGB images is to establish a 2-D–3-D correspondence and then use the ...
GitHub

GitHub - ltinphan/yolos-cpp: Cross-Platform Production-ready C++ inference engine for YOLO models (v5-v12, YOLO26). Unified API for detection, segmentation, pose estimation ...

YOLOs-CPP is a production-grade inference engine that brings the entire YOLO ecosystem to C++. Unlike scattered implementations, YOLOs-CPP provides a unified, consistent API across all YOLO versions ...
GitHub

Towards Unconstrained 2D Pose Estimation of the Human Spine

Abstract: We present SpineTrack, the first comprehensive dataset for 2D spine pose estimation in unconstrained settings, addressing a crucial need in sports analytics, healthcare, and realistic ...