📜 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.
- Pytorch (0.4)
- torchtext
- jsonlines
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To use the BoW baseline, run
python main.py -
To use the NN baseline, run
python count_baseline.py