6D pose estimation is a common and important task in industry. Obtaining the 6D pose of
objects is the basis for many other functions such as bin picking, autopilot, etc. Therefore …

In this paper, we present a generalizable model-free 6-DoF object pose estimator called
Gen6D. Existing generalizable pose estimators either need the high-quality object models or …

Pose estimation is an essential technology for industrial robots to perform precise gripping
and assembly. The state-of-the-art deep learning-based approach uses an indirect strategy …

It is often desired to train 6D pose estimation systems on synthetic data because manual
annotation is expensive. However, due to the large domain gap between the synthetic and …

Unsupervised domain adaptation in satellite posed estimation aimed at alleviating the
annotation cost for training deep models has been gaining attention. To this end, we …

The accurate estimation of six degrees-of-freedom (6DoF) object poses is essential for many
applications in robotics and augmented reality. However, existing methods for 6DoF pose …

Abstract 6D pose estimation from a single RGB image is a fundamental task in computer
vision. We introduce a two-stage 6D pose estimation method for texture-less objects. Instead …

Accurate object detection and 6D pose estimation are the key technologies in robotic
grasping applications, where efficiency and robustness are the two most desirable goals …

The 6-D pose estimation is a crucial task in vision-based measurement for robotic
manipulation. It becomes a challenging task because of the variety of lighting conditions …

Scalable 6D pose estimation for rigid objects from RGB images aims at handling multiple
objects and generalizing to novel objects. Building on a well-known auto-encoding …