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

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...

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Bibliographische Detailangaben

Hauptverfasser:	Chaudhry, Ritwick, Shekhar, Sumit, Gupta, Utkarsh, Maneriker, Pranav, Bansal, Prann, Joshi, Ajay
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
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