📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

A mixed-reality dataset for category-level 6D pose and size estimation of hand-occluded containers (2022)

First Author: Weber X

Attributed to: CORSMAL: Collaborative object recognition, shared manipulation and learning funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.2211.10470

Publication URI: https://arxiv.org/abs/2211.10470

Type: Preprint