Robust and Interpretable Grounding of Spatial References with Relation Networks

2 May 2020Tsung-Yen YangKarthik Narasimham

Handling spatial references in natural language is a key challenge in tasks like autonomous navigation and robotic manipulation. Recent work has investigated various neural architectures for learning multi-modal representations of spatial concepts that generalize well across a variety of observations and text instructions... (read more)

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