Blindfold Baselines for Embodied QA

📜 https://arxiv.org/abs/1811.05013

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.

Dependencies

• Pytorch (0.4)
• torchtext
• jsonlines

Usage

• To use the BoW baseline, run python main.py

• To use the NN baseline, run python count_baseline.py