[HTML][HTML] A survey of graphical page object detection with deep neural networks
In any document, graphical elements like tables, figures, and formulas contain essential
information. The processing and interpretation of such information require specialized …
information. The processing and interpretation of such information require specialized …
Towards accessible chart visualizations for the non-visuals: Research, applications and gaps
Abstract Chart Visualizations (CharVis) such as charts/plots and diagrams are commonly
used in documents for representing the underlying quantitative information. However, the …
used in documents for representing the underlying quantitative information. However, the …
[HTML][HTML] Cascade network with deformable composite backbone for formula detection in scanned document images
This paper presents a novel architecture for detecting mathematical formulas in document
images, which is an important step for reliable information extraction in several domains …
images, which is an important step for reliable information extraction in several domains …
Mathematical formula detection in document images: A new dataset and a new approach
Most of existing mathematical formula detectors focus on detecting formula entities through
object detection or instance segmentation techniques. However, these methods often fail to …
object detection or instance segmentation techniques. However, these methods often fail to …
Lateral feature enhancement network for page object detection
In this article, a lateral feature enhancement (LFE) backbone network is proposed to enrich
feature representation effectively for page object detection (POD) across various scales. Our …
feature representation effectively for page object detection (POD) across various scales. Our …
Graph interpretation, summarization and visualization techniques: a review and open research issues
Graphs has been a ubiquitous way of representing heterogeneous data. There are many
studies focused on graph learning highlighting the approaches for graph data extraction …
studies focused on graph learning highlighting the approaches for graph data extraction …
Figure and figure caption extraction for mixed raster and vector PDFs: digitization of astronomical literature with OCR features
Scientific articles published prior to the “age of digitization” in the late 1990s contain figures
which are “trapped” within their scanned pages. While progress to extract figures and their …
which are “trapped” within their scanned pages. While progress to extract figures and their …
The YOLO model that still excels in document layout analysis
Q Deng, M Ibrayim, A Hamdulla, C Zhang - Signal, Image and Video …, 2024 - Springer
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 …
document. However, the diversity of document layouts and considerable variation in aspect …
[HTML][HTML] U-SSD: Improved SSD based on U-Net architecture for end-to-end table detection in document images
SH Lee, HC Chen - Applied Sciences, 2021 - mdpi.com
Tables are an important element in a document and can express more information with
fewer words. Due to the different arrangements of tables and texts, as well as the variety of …
fewer words. Due to the different arrangements of tables and texts, as well as the variety of …
The digitization of historical astrophysical literature with highly localized figures and figure captions
Scientific articles published prior to the “age of digitization” in the late 1990s contain figures
which are “trapped” within their scanned pages. While progress to extract figures and their …
which are “trapped” within their scanned pages. While progress to extract figures and their …