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20192023
most citedObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects

130 citations · 276 across the 10 of their papers we have counts for

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12 papers · 1 filter

cs.CV2023★ 14 cited

OVRL-V2: A simple state-of-art baseline for ImageNav and ObjectNav

Karmesh Yadav, Arjun Majumdar, Ram Ramrakhya +5

We present a single neural network architecture composed of task-agnostic components (ViTs, convolutions, and LSTMs) that achieves state-of-art results on both the ImageNav ("go to…

cs.CV2023★ 21 cited

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?

Arjun Majumdar, Karmesh Yadav, Sergio Arnaud +12

We present the largest and most comprehensive empirical study of pre-trained visual representations (PVRs) or visual 'foundation models' for Embodied AI. First, we curate CortexBen…

cs.CV2022★ 19 cited

Retrospectives on the Embodied AI Workshop

Matt Deitke, Dhruv Batra, Yonatan Bisk +36

We present a retrospective on the state of Embodied AI research. Our analysis focuses on 13 challenges presented at the Embodied AI Workshop at CVPR. These challenges are grouped i…

cs.CV2022

Is Mapping Necessary for Realistic PointGoal Navigation?

Ruslan Partsey, Erik Wijmans, Naoki Yokoyama +3

Can an autonomous agent navigate in a new environment without building an explicit map? For the task of PointGoal navigation ('Go to , ') under idealized settings (no RGB-D…

cs.CV2022★ 24 cited

Offline Visual Representation Learning for Embodied Navigation

Karmesh Yadav, Ram Ramrakhya, Arjun Majumdar +5

How should we learn visual representations for embodied agents that must see and move? The status quo is tabula rasa in vivo, i.e. learning visual representations from scratch whil…

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…