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What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning. (arXiv:2205.02671v1 [cs.CV])
Web: http://arxiv.org/abs/2205.02671
May 6, 2022, 1:11 a.m. | Jae Hee Lee, Matthias Kerzel, Kyra Ahrens, Cornelius Weber, Stefan Wermter
cs.LG updates on arXiv.org arxiv.org
Understanding spatial relations is essential for intelligent agents to act
and communicate in the physical world. Relative directions are spatial
relations that describe the relative positions of target objects with regard to
the intrinsic orientation of reference objects. Grounding relative directions
is more difficult than grounding absolute directions because it not only
requires a model to detect objects in the image and to identify spatial
relation based on this information, but it also needs to recognize the
orientation of objects …
More from arxiv.org / cs.LG updates on arXiv.org
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