TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	REMOVE
Vision and Language Navigation	RxR	Monolingual Baseline	ndtw	41.05	# 5
Vision and Language Navigation	RxR	Multilingual Baseline	ndtw	36.81	# 6

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Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding

EMNLP 2020 · Alexander Ku, Peter Anderson, Roma Patel, Eugene Ie, Jason Baldridge ·

We introduce Room-Across-Room (RxR), a new Vision-and-Language Navigation (VLN) dataset. RxR is multilingual (English, Hindi, and Telugu) and larger (more paths and instructions) than other VLN datasets. It emphasizes the role of language in VLN by addressing known biases in paths and eliciting more references to visible entities. Furthermore, each word in an instruction is time-aligned to the virtual poses of instruction creators and validators. We establish baseline scores for monolingual and multilingual settings and multitask learning when including Room-to-Room annotations. We also provide results for a model that learns from synchronized pose traces by focusing only on portions of the panorama attended to in human demonstrations. The size, scope and detail of RxR dramatically expands the frontier for research on embodied language agents in simulated, photo-realistic environments.