LEAF-QA: Locate, Encode & Attend for Figure Question Answering

30 Jul 2019Ritwick ChaudhrySumit ShekharUtkarsh GuptaPranav ManerikerPrann BansalAjay Joshi

We introduce LEAF-QA, a comprehensive dataset of $250,000$ densely annotated figures/charts, constructed from real-world open data sources, along with ~2 million question-answer (QA) pairs querying the structure and semantics of these charts. LEAF-QA highlights the problem of multimodal QA, which is notably different from conventional visual QA (VQA), and has recently gained interest in the community... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.