We present a new hybrid document layout analysis approach to simultaneously detecting
graphical page objects, group text-lines into text regions according to reading order, and …

Table detection, a pivotal task in document analysis, aims to precisely recognize and locate
tables within document images. Although deep learning has shown remarkable progress in …

Table detection is the task of classifying and localizing table objects within document
images. With the recent development in deep learning methods, we observe remarkable …

Research has been growing on object detection using semi-supervised methods in past few
years. We examine the intersection of these two areas for floor-plan objects to promote the …

Table detection within document images is a crucial task in document processing, involving
the identification and localization of tables. Recent strides in deep learning have …

Document layout analysis involves understanding the arrangement of elements within a
document. This paper navigates the complexities of understanding various elements within …

Document structure analysis (aka document layout analysis) is crucial for understanding the
physical layout and logical structure of documents, with applications in information retrieval …

Document layout analysis is a key area in document research, involving techniques like text
mining and visual analysis. Despite various methods developed to tackle layout analysis, a …

Document layout analysis can help people better understand and use the information in a
document. However, the diversity of document layouts and considerable variation in aspect …

Abstract Document Layout Analysis (DLA) has emerged as a challenging problem in the
field of computer vision. The primary goal of DLA involves the identification of page objects …