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Single-Stage Keypoint-Based Category-Level Object Pose Estimation from an RGB Image. (arXiv:2109.06161v2 [cs.CV] UPDATED)
Web: http://arxiv.org/abs/2109.06161
May 13, 2022, 1:10 a.m. | Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
cs.CV updates on arXiv.org arxiv.org
Prior work on 6-DoF object pose estimation has largely focused on
instance-level processing, in which a textured CAD model is available for each
object being detected. Category-level 6-DoF pose estimation represents an
important step toward developing robotic vision systems that operate in
unstructured, real-world scenarios. In this work, we propose a single-stage,
keypoint-based approach for category-level object pose estimation that operates
on unknown object instances within a known category using a single RGB image as
input. The proposed network performs …
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