Abstract Recently, Visual Information Extraction (VIE) has been becoming increasingly
important in both academia and industry, due to the wide range of real-world applications …

Table structure recognition is an indispensable element for enabling machines to
comprehend tables. Its primary purpose is to identify the internal structure of a table …

As an important source for disclosure a company's environmental, social, and governance
(ESG) performance, stock exchanges gradually strengthen their requirements for listed …

Table structure recognition (TSR) aims at extracting tables in images into machine-
understandable formats. Current approaches address this issue by either predicting the …

Table structure recognition (TSR) aims to parse the inherent structure of a table from its input
image. The" split-and-merge" paradigm is a pivotal approach to parse table structure, where …

Tables, as an important information interaction media containing much structured
information, are popularly adopted in our life. There are a lot of table recognition methods for …

Parsing documents from pixels, such as pictures and scanned PDFs, into hierarchical
structures is extensively demanded in the daily routines of data storage, retrieval and …

Pre-trained foundation models have recently significantly progressed in structured table
understanding and reasoning. However, despite advancements in areas such as table …

As one of the most commonly used and important data carriers, tables have the advantages
of high structuring, strong readability and strong flexibility. However, in reality, tables usually …

In today's information age, table images play a crucial role in storing structured information,
making table image recognition technology an essential component in many fields …