Estimating the pose of an uncooperative spacecraft is an important computer vision problem
for enabling the deployment of automatic vision-based systems in orbit, with applications …

The 6D pose estimation of an object from an image is a central problem in many domains of
Computer Vision (CV) and researchers have struggled with this issue for several years …

This article concerns the second Satellite Pose Estimation Competition (SPEC2021), an
international competition designed to address the challenging problem of domain gap in …

Most recent 6D object pose estimation methods rely on 2D optical flow networks to refine
their results. However, these optical flow methods typically do not consider any 3D shape …

Most recent 6D object pose estimation methods first use object detection to obtain 2D
bounding boxes before actually regressing the pose. However, the general object detection …

Most recent 6D object pose estimation methods, including unsupervised ones, require many
real training images. Unfortunately, for some applications, such as those in space or deep …

Most self-supervised 6D object pose estimation methods can only work with additional depth
information or rely on the accurate annotation of 2D segmentation masks, limiting their …

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

Recent works on 6D object pose estimation focus on learning keypoint correspondences
between images and object models, and then determine the object pose through RANSAC …

We propose a single-shot approach to determining 6-DoF pose of an object with available
3D computer-aided design (CAD) model from a single RGB image. Our method dubbed …