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MapQA: A Dataset for Question Answering on Choropleth Maps. (arXiv:2211.08545v1 [cs.CV])
Nov. 17, 2022, 2:14 a.m. | Shuaichen Chang, David Palzer, Jialin Li, Eric Fosler-Lussier, Ningchuan Xiao
cs.CV updates on arXiv.org arxiv.org
Choropleth maps are a common visual representation for region-specific
tabular data and are used in a number of different venues (newspapers,
articles, etc). These maps are human-readable but are often challenging to deal
with when trying to extract data for screen readers, analyses, or other related
tasks. Recent research into Visual-Question Answering (VQA) has studied
question answering on human-generated charts (ChartQA), such as bar, line, and
pie charts. However, little work has paid attention to understanding maps;
general VQA models, …
More from arxiv.org / cs.CV updates on arXiv.org
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