arXiv:1811.05013
공식 코드 · Papers with Code
Blindfold Baselines for Embodied QA
원문 초록
We explore blindfold (question-only) baselines for Embodied Question Answering. The EmbodiedQA task requires an agent to answer a question by intelligently navigating in a simulated environment, gathering necessary visual information only through first-person vision before finally answering. Consequently, a blindfold baseline which ignores the environment and visual information is a degenerate solution, yet we show through our experiments on the EQAv1 dataset that a simple question-only baseline achieves state-of-the-art results on the EmbodiedQA task in all cases except when the agent is spawned extremely close to the object.
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Enter the Mind Palace: Reasoning and Planning for Long-term Active Embodied Question Answering
ToSA: Token Merging with Spatial Awareness
General-Purpose Robotic Navigation via LVLM-Orchestrated Perception, Reasoning, and Acting
EQA-RM: A Generative Embodied Reward Model with Test-time Scaling
From Roots to Rewards: Dynamic Tree Reasoning with RL
Describe Anything Model for Visual Question Answering on Text-rich Images
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