  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.
