Answering Questions about Data Visualizations using Efficient Bimodal Fusion

@article{Kafle2020AnsweringQA,
  title={Answering Questions about Data Visualizations using Efficient Bimodal Fusion},
  author={Kushal Kafle and Robik Shrestha and B. Price and S. Cohen and Christopher Kanan},
  journal={2020 IEEE Winter Conference on Applications of Computer Vision (WACV)},
  year={2020},
  pages={1487-1496}
}
  • Kushal Kafle, Robik Shrestha, +2 authors Christopher Kanan
  • Published 2020
  • Computer Science
  • 2020 IEEE Winter Conference on Applications of Computer Vision (WACV)
  • Chart question answering (CQA) is a newly proposed visual question answering (VQA) task where an algorithm must answer questions about data visualizations, e.g. bar charts, pie charts, and line graphs. [...] Key Method PReFIL first learns bimodal embeddings by fusing question and image features and then intelligently aggregates these learned embeddings to answer the given question. Despite its simplicity, PReFIL greatly surpasses state-of-the art systems and human baselines on both the FigureQA and DVQA…Expand Abstract
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