The traditional CNN for 6D robot relocalization which outputs pose estimations does not
interpret whether the model is making sensible predictions or just guessing at random. We …

Human judgments can still be considered the gold standard in the assessment of image
similarity, but they are too expensive and time-consuming to acquire. Even though most …

Precise localization and pose estimation in indoor environments are commonly employed in
a wide range of applications, including robotics, augmented reality, and navigation and …

In this paper, a novel framework for image-to-image translation, in which contourconsistency
networks are used to solve the problem of inconsistency between the contours of generated …