A brief review of state-of-the-art object detectors on benchmark document images datasets

TT Nguyen, H Le, T Nguyen, ND Vo… - International Journal on …, 2023 - Springer
Document image analysis (DIA) has become a challenging brand in computer vision, which
is the foundation of document understanding applications. Page object detection is one of …

From Detection to Application: Recent Advances in Understanding Scientific Tables and Figures

J Huang, H Chen, F Yu, W Lu - ACM Computing Surveys, 2024 - dl.acm.org
Tables and figures are usually used to present information in a structured and visual way in
scientific documents. Understanding the tables and figures in scientific documents is …

YOLO-table: disclosure document table detection with involution

D Zhang, R Mao, R Guo, Y Jiang, J Zhu - International Journal on …, 2023 - Springer
As financial document automation becomes more general, table detection is receiving more
and more attention as an important part of document automation. Disclosure documents …

Castabdetectors: Cascade network for table detection in document images with recursive feature pyramid and switchable atrous convolution

KA Hashmi, A Pagani, M Liwicki, D Stricker, MZ Afzal - Journal of Imaging, 2021 - mdpi.com
Table detection is a preliminary step in extracting reliable information from tables in scanned
document images. We present CasTabDetectoRS, a novel end-to-end trainable table …

End-to-end semi-supervised approach with modulated object queries for table detection in documents

I Ehsan, T Shehzadi, D Stricker, MZ Afzal - International Journal on …, 2024 - Springer
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 …

Towards end-to-end semi-supervised table detection with deformable transformer

T Shehzadi, K Azeem Hashmi, D Stricker… - … on Document Analysis …, 2023 - Springer
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 …

Mask-aware semi-supervised object detection in floor plans

T Shehzadi, KA Hashmi, A Pagani, M Liwicki… - Applied Sciences, 2022 - mdpi.com
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 …

End to end invoice processing application based on key fields extraction

H Arslan - IEEE Access, 2022 - ieeexplore.ieee.org
In this paper, an automatic invoice processing system, which is in great demand among
private and public companies, was proposed. The proposed system supports all invoice file …

Continual learning for table detection in document images

M Minouei, KA Hashmi, MR Soheili, MZ Afzal… - Applied Sciences, 2022 - mdpi.com
The growing amount of data demands methods that can gradually learn from new samples.
However, it is not trivial to continually train a network. Retraining a network with new data …

Towards End-to-End Semi-supervised Table Detection with Semantic Aligned Matching Transformer

T Shehzadi, S Sarode, D Stricker, MZ Afzal - International Conference on …, 2024 - Springer
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 …