Embodied Question Answering
8 papers with code • 0 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Embodied Question Answering
EQA
OpenEQA
Most implemented papers
Embodied Question Answering
We present a new AI task -- Embodied Question Answering (EmbodiedQA) -- where an agent is spawned at a random location in a 3D environment and asked a question ("What color is the car?").
Neural Modular Control for Embodied Question Answering
We use imitation learning to warm-start policies at each level of the hierarchy, dramatically increasing sample efficiency, followed by reinforcement learning.
Towards Learning a Generalist Model for Embodied Navigation
zd11024/NaviLLM
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We conduct extensive experiments to evaluate the performance and generalizability of our model.
Blindfold Baselines for Embodied QA
ankeshanand/blindfold-baselines-eqa
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We explore blindfold (question-only) baselines for Embodied Question Answering.
Multi-Target Embodied Question Answering
facebookresearch/EmbodiedQA
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CVPR 2019
To address this, we propose a modular architecture composed of a program generator, a controller, a navigator, and a VQA module.
VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering
The goal of this dataset is to assess question-answering performance from nearly-ideal navigation paths, while considering a much more complete variety of questions than current instantiations of the EQA task.
AllenAct: A Framework for Embodied AI Research
allenai/allenact
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The domain of Embodied AI, in which agents learn to complete tasks through interaction with their environment from egocentric observations, has experienced substantial growth with the advent of deep reinforcement learning and increased interest from the computer vision, NLP, and robotics communities.
Synthesizing Event-centric Knowledge Graphs of Daily Activities Using Virtual Space
Artificial intelligence (AI) is expected to be embodied in software agents, robots, and cyber-physical systems that can understand the various contextual information of daily life in the home environment to support human behavior and decision making in various situations.
