OG-SGG: Ontology-Guided Scene Graph Generation. A Case Study in Transfer Learning for Telepresence Robotics. (arXiv:2202.10201v2 [cs.RO] UPDATED)

Scene graph generation from images is a task of great interest to
applications such as robotics, because graphs are the main way to represent
knowledge about the world and regulate human-robot interactions in tasks such
as Visual Question Answering (VQA). Unfortunately, its corresponding area of
machine learning is still relatively in its infancy, and the solutions
currently offered do not specialize well in concrete usage scenarios.
Specifically, they do not take existing "expert" knowledge about the domain
world into account; …

arxiv case case study graph ontology robotics study transfer transfer learning