… a novel single shot approach for 6D object pose estimation of rigid objects based on depth
… 3D input data is spatially discretized and pose estimation is considered as a regression task …

… projected vertices of the object’s 3D bounding box. The object’s 6D pose is then estimated
using a PnP algorithm. For single object and multiple object pose estimation on the LINEMOD …

… must not lie outside of the scope of the category for the estimation to be … object pose
estimation in the oneshot paradigm. By one-shot pose estimation, we refer to estimating the pose of …

… one yet has proposed a satisfying solution to designing a singlestage 6D pose estimation …
our goal is to simultaneously detect objects and estimate their 6D pose. We assume them to be …

… 6D object pose estimation are the following: • We present a pose estimation method that
estimates 6D object poses from RGB input without depth information in a zero-shot fashion. The …

… -level object pose estimation and the one-shot pose estimation … proposed approach only
requires a simple video scan of the … for monocular 6D object pose estimation. In CVPR, 2021. 2 …

… few-shot 6D object poses estimation: estimating the 6D pose of an unknown … -shot 6D
object pose estimation: estimating 6D pose of unknown objects by only a few views of the objects …

… Osop: A multi-stage one shot object pose estimation framework. In Proceedings of the
IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 6835–6844, 2022. 3 …

Object pose estimation is a core perception task that enables, for example, object manipulation
and scene understanding. The widely available, inexpensive, and high-resolution RGB …

… , a novel zero-shot framework that performs pose estimation following a … This framework
generalizes to novel objects without … of 6D object pose estimation in robotics and industrial fields. …