论文标题
修订文档图像中的键值检测的FUNSD数据集
Revising FUNSD dataset for key-value detection in document images
论文作者
论文摘要
FUNSD是有限的公开数据集之一，可从文档IMAGE中提取信息。 FUNSD数据集中的信息由四个类别的文本区域（“键”，“值”，“标题”，“其他”和“背景”）定义，以及作为键值关系之间的连接性。在镜头上，我们发现标签上有几种不一致的不一致性，这阻碍了其对key-value提取问题的适用性。在本报告中，我们描述了FUNSD和数据集中的一些标签问题。我们还报告了使用UNET模型作为基线结果以及具有Channel-InvariantDeformable卷积的改进的UNET模型的键值检测实施。
FUNSD is one of the limited publicly available datasets for information extraction from document im-ages. The information in the FUNSD dataset is defined by text areas of four categories ("key", "value", "header", "other", and "background") and connectivity between areas as key-value relations. In-specting FUNSD, we found several inconsistency in labeling, which impeded its applicability to thekey-value extraction problem. In this report, we described some labeling issues in FUNSD and therevision we made to the dataset. We also reported our implementation of for key-value detection onFUNSD using a UNet model as baseline results and an improved UNet model with Channel-InvariantDeformable Convolution.
