384 citations · 1.9k across the 75 of their papers we have counts for
15 papers · 2 filters
How to Train PointGoal Navigation Agents on a (Sample and Compute) Budget
Erik Wijmans, Irfan Essa, Dhruv Batra
PointGoal navigation has seen significant recent interest and progress, spurred on by the Habitat platform and associated challenge. In this paper, we study PointGoal navigation un…
SOrT-ing VQA Models : Contrastive Gradient Learning for Improved Consistency
Sameer Dharur, Purva Tendulkar, Dhruv Batra +2
Recent research in Visual Question Answering (VQA) has revealed state-of-the-art models to be inconsistent in their understanding of the world -- they answer seemingly difficult qu…
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…
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…
Contrast and Classify: Training Robust VQA Models
Yash Kant, Abhinav Moudgil, Dhruv Batra +2
Recent Visual Question Answering (VQA) models have shown impressive performance on the VQA benchmark but remain sensitive to small linguistic variations in input questions. Existin…
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…