Feb. 2, 2024, 9:42 p.m. | Renqiu Xia Bo Zhang Haoyang Peng Ning Liao Peng Ye Botian Shi Junchi Yan Yu Qiao

cs.CV updates on arXiv.org arxiv.org

Charts are common in literature across different scientific fields, conveying rich information easily accessible to readers. Current chart-related tasks focus on either chart perception which refers to extracting information from the visual charts, or performing reasoning given the extracted data, e.g. in a tabular form. In this paper, we aim to establish a unified and label-efficient learning paradigm for joint perception and reasoning tasks, which can be generally applicable to different downstream tasks, beyond the question-answering task as specifically studied …

aim charts cs.cv current data fields focus form information literature paper perception readers reasoning tabular tasks understanding visual

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