Document parsing is essential for converting unstructured and semi-structured documents-
such as contracts, academic papers, and invoices-into structured, machine-readable data …

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

Detection models have been extensively employed for the Table Structure Recognition
(TSR) task, aiming to convert table images into structured formats by detecting table …

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 …

Table Structure Recognition (TSR) aims at transforming unstructured table images into
structured formats, such as HTML sequences. One type of popular solution is using …

Semantic line is a straight line based representation designed to well capture the spatial
layout or structural shape of the scene in an image that is valuable as a high-level visual …

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 …

Transformers have revolutionized the object detection landscape by introducing DETRs,
acclaimed for their simplicity and efficacy. Despite their advantages, the substantial size of …

Recently, Table Structure Recognition (TSR) task, aiming at identifying table structure into
machine readable formats, has received increasing interest in the community. While …

Document layout analysis (DLA) is crucial for understanding the physical layout and logical
structure of documents, serving information retrieval, document summarization, knowledge …