FastPoseCNN: Real-Time Monocular Category-Level Pose and Size Estimation Framework

arXiv:2406.11063v1 Announce Type: new
Abstract: The primary focus of this paper is the development of a framework for pose and size estimation of unseen objects given a single RGB image - all in real-time. In 2019, the first category-level pose and size estimation framework was proposed alongside two novel datasets called CAMERA and REAL. However, current methodologies are restricted from practical use because of its long inference time (2-4 fps). Their approach's inference had significant delays because they used the …

abstract all in arxiv cs.cv datasets development focus framework image novel objects paper real-time type