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20182022
most citedSim-to-Real Transfer for Vision-and-Language Navigation

21 citations · 56 across the 10 of their papers we have counts for

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cs.CV2022

Sim-2-Sim Transfer for Vision-and-Language Navigation in Continuous Environments

Jacob Krantz, Stefan Lee

Recent work in Vision-and-Language Navigation (VLN) has presented two environmental paradigms with differing realism -- the standard VLN setting built on topological environments w…

cs.CV20214 cited

SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation

Abhinav Moudgil, Arjun Majumdar, Harsh Agrawal +2

Natural language instructions for visual navigation often use scene descriptions (e.g., "bedroom") and object references (e.g., "green chairs") to provide a breadcrumb trail to a g…

cs.CV2021

Waypoint Models for Instruction-guided Navigation in Continuous Environments

Jacob Krantz, Aaron Gokaslan, Dhruv Batra +2

Little inquiry has explicitly addressed the role of action spaces in language-guided visual navigation -- either in terms of its effect on navigation success or the efficiency with…

cs.CV202021 cited

Sim-to-Real Transfer for Vision-and-Language Navigation

Peter Anderson, Ayush Shrivastava, Joanne Truong +4

We study the challenging problem of releasing a robot in a previously unseen environment, and having it follow unconstrained natural language navigation instructions. Recent work o…

cs.CV2020

Where Are You? Localization from Embodied Dialog

Meera Hahn, Jacob Krantz, Dhruv Batra +4

We present Where Are You? (WAY), a dataset of ~6k dialogs in which two humans -- an Observer and a Locator -- complete a cooperative localization task. The Observer is spawned at r…

cs.CV2020

Semantic MapNet: Building Allocentric Semantic Maps and Representations from Egocentric Views

Vincent Cartillier, Zhile Ren, Neha Jain +3

We study the task of semantic mapping - specifically, an embodied agent (a robot or an egocentric AI assistant) is given a tour of a new environment and asked to build an allocentr…