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title
Embodied Question Answering
description
Moving towards AI agents that can navigate in virtual environments and answer natural language questions ---
site name
Embodied Question Answering
author
updated
2025-12-17 12:36:47
raw text
Embodied Question Answering Embodied Question Answering Overview People Data Code What is Embodied Question Answering? Embodied Question Answering is a new AI task where an agent is spawned at a random location in a 3D environment and asked a question ("What color is the car?"). In order to answer, the agent must first intelligently navigate to explore the environment, gather information through first-person (egocentric) vision, and then answer the question ("orange"). Apr 2019 — Two papers accepted at CVPR 2019! Jun 2018 — PyTorch code for training and evaluating navigation and question-answering models is now available! Jun 2018 — EQA v1 dataset and code for automatically generating EQA questions are now available! Dec 2017 — Code for 3D environments is now available! Embodied Question Answering in Photorealistic Environments with Point Cloud Perception Erik Wijmans*, Samyak Datta*, Oleksandr Maksymets*, Abhi...
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