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Speaker-Follower Models for Vision-and-Language Navigation
[article]
2018
arXiv
pre-print
Navigation guided by natural language instructions presents a challenging reasoning problem for instruction followers. Natural language instructions typically identify only a few high-level decisions and landmarks rather than complete low-level motor behaviors; much of the missing information must be inferred based on perceptual context. In machine learning settings, this is doubly challenging: it is difficult to collect enough annotated data to enable learning of this reasoning process from
arXiv:1806.02724v2
fatcat:t6g46qwawbgd3b4n3snyvzhywe