On the public citation graph
Deep Learning for Table Detection and Structure Recognition: A Survey
0 signed · 120 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-0-85729-859-1_20openalex-snapshot
Recognition of Tables and Forms
inferredcites →https://doi.org/10.1007/978-3-030-57058-3_15openalex-snapshot
The Benefits of Close-Domain Fine-Tuning for Table Detection in Document Images
inferredcites →https://doi.org/10.1007/978-3-030-57058-3_16openalex-snapshot
IIIT-AR-13K: A New Dataset for Graphical Object Detection in Documents
inferredcites →https://doi.org/10.1007/s00521-022-07992-xopenalex-snapshot
Customer decision-making analysis based on big social data using machine learning: a case study of hotels in Mecca
inferredcites →https://doi.org/10.1007/s00521-023-09339-6openalex-snapshot
Customer profiling, segmentation, and sales prediction using AI in direct marketing
inferredcites →https://doi.org/10.1007/s10032-004-0120-9openalex-snapshot
A survey of table recognition
inferredcites →https://doi.org/10.1007/s10032-006-0017-xopenalex-snapshot
Table-processing paradigms: a research survey
inferredcites →https://doi.org/10.1007/s10032-014-0226-7openalex-snapshot
Junction-based table detection in camera-captured document images
inferredcites →https://doi.org/10.1007/s10032-021-00390-4openalex-snapshot
TableSegNet: a fully convolutional network for table detection and segmentation in document images
inferredcites →https://doi.org/10.1007/s10032-022-00400-zopenalex-snapshot
YOLO-table: disclosure document table detection with involution
inferredcites →https://doi.org/10.1007/s100320200074openalex-snapshot
Evaluating the performance of table processing algorithms
inferredcites →https://doi.org/10.1007/s11036-021-01759-9openalex-snapshot
ClusTi: Clustering Method for Table Structure Recognition in Scanned Images
inferredcites →https://doi.org/10.1007/s11042-021-11399-6openalex-snapshot
Handwritten Kazakh and Russian (HKR) database for text recognition
inferredcites →https://doi.org/10.1007/s11263-019-01247-4openalex-snapshot
Deep Learning for Generic Object Detection: A Survey
inferredcites →https://doi.org/10.1007/s42979-020-0113-xopenalex-snapshot
Weakly Supervised Learning-based Table Detection
inferredcites →https://doi.org/10.1007/s42979-022-01659-zopenalex-snapshot
Flexible Hybrid Table Recognition and Semantic Interpretation System
inferredcites →https://doi.org/10.1016/j.csi.2007.08.006openalex-snapshot
Extracting logical structures from HTML tables
inferredcites →https://doi.org/10.1016/j.engappai.2020.103551openalex-snapshot
Holistic design for deep learning-based discovery of tabular structures in datasheet images
inferredcites →https://doi.org/10.1016/j.image.2022.116827openalex-snapshot
KOHTD: Kazakh offline handwritten text dataset
inferredcites →https://doi.org/10.1016/j.knosys.2023.111080openalex-snapshot
Table detection for visually rich document images
inferredcites →https://doi.org/10.1016/j.media.2017.07.005openalex-snapshot
A survey on deep learning in medical image analysis
inferredcites →https://doi.org/10.1016/j.neucom.2021.11.101openalex-snapshot
TNCR: Table net detection and classification dataset
inferredcites →https://doi.org/10.1016/j.patcog.2006.05.029openalex-snapshot
Extraction and segmentation of tables from Chinese ink documents based on a matrix model
inferredcites →https://doi.org/10.1016/j.patcog.2013.08.009openalex-snapshot
KHATT: An open Arabic offline handwritten text database
inferredcites →https://doi.org/10.1016/j.patcog.2018.05.014openalex-snapshot
Deep learning for image-based cancer detection and diagnosis − A survey
inferredcites →https://doi.org/10.1016/j.patcog.2022.108565openalex-snapshot
Split, Embed and Merge: An accurate table structure recognizer
inferredcites →https://doi.org/10.1016/j.patcog.2022.108641openalex-snapshot
Table detection in business document images by message passing networks
inferredcites →https://doi.org/10.1016/j.patcog.2022.109006openalex-snapshot
Robust Table Detection and Structure Recognition from Heterogeneous Document Images
inferredcites →https://doi.org/10.1016/j.patrec.2022.01.021openalex-snapshot
IoU-Balanced loss functions for single-stage object detection
inferredcites →https://doi.org/10.1038/s41597-023-01985-8openalex-snapshot
A large-scale dataset for end-to-end table recognition in the wild
inferredcites →https://doi.org/10.1045/november14-klampflopenalex-snapshot
A Comparison of Two Unsupervised Table Recognition Methods from Digital Scientific Articles
inferredcites →https://doi.org/10.1109/34.244677openalex-snapshot
The document spectrum for page layout analysis
inferredcites →https://doi.org/10.1109/access.2018.2880211openalex-snapshot
DeCNT: Deep Deformable CNN for Table Detection
inferredcites →https://doi.org/10.1109/access.2021.3103413openalex-snapshot
Guided Table Structure Recognition Through Anchor Optimization
inferredcites →https://doi.org/10.1109/access.2021.3116612openalex-snapshot
Improving Performance of Autoencoder-Based Network Anomaly Detection on NSL-KDD Dataset
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00459openalex-snapshot
PubTables-1M: Towards comprehensive table extraction from unstructured documents
inferredcites →https://doi.org/10.1109/das.2012.29openalex-snapshot
Dataset, Ground-Truth and Performance Metrics for Table Detection Evaluation
inferredcites →https://doi.org/10.1109/globalsip.2017.8309095openalex-snapshot
Automatic question-answering using a deep similarity neural network
inferredcites →https://doi.org/10.1109/icdar.1993.395625openalex-snapshot
Table structure recognition based on textblock arrangement and ruled line position
inferredcites →https://doi.org/10.1109/icdar.1993.395683openalex-snapshot
Structural recognition of tabulated data
inferredcites →https://doi.org/10.1109/icdar.2009.185openalex-snapshot
Learning Rich Hidden Markov Models in Document Analysis: Table Location
inferredcites →https://doi.org/10.1109/icdar.2013.240openalex-snapshot
Learning to Detect Tables in Scanned Document Images Using Line Information
inferredcites →https://doi.org/10.1109/icdar.2019.00027openalex-snapshot
Deep Splitting and Merging for Table Structure Decomposition
inferredcites →https://doi.org/10.1109/icdar.2019.00028openalex-snapshot
Table Detection in Invoice Documents by Graph Neural Networks
inferredcites →https://doi.org/10.1109/icdar.2019.00029openalex-snapshot
TableNet: Deep Learning Model for End-to-end Table Detection and Tabular Data Extraction from Scanned Document Images
inferredcites →https://doi.org/10.1109/icdar.2019.00031openalex-snapshot
Rethinking Table Recognition using Graph Neural Networks
inferredcites →https://doi.org/10.1109/icdar.2019.00135openalex-snapshot
A YOLO-Based Table Detection Method
inferredcites →https://doi.org/10.1109/icdar.2019.00148openalex-snapshot
Challenges in End-to-End Neural Scientific Table Recognition
inferredcites →https://doi.org/10.1109/icdar.2019.00206openalex-snapshot
A Genetic-Based Search for Adaptive Table Recognition in Spreadsheets
inferredcites →https://doi.org/10.1109/icdar.2019.00207openalex-snapshot
DECO: A Dataset of Annotated Spreadsheets for Layout and Table Recognition
inferredcites →https://doi.org/10.1109/icdar.2019.00220openalex-snapshot
Table Structure Extraction with Bi-Directional Gated Recurrent Unit Networks
inferredcites →https://doi.org/10.1109/icdar.2019.00225openalex-snapshot
Rethinking Semantic Segmentation for Table Structure Recognition in Documents
inferredcites →https://doi.org/10.1109/icdar.2019.00226openalex-snapshot
DeepTabStR: Deep Learning based Table Structure Recognition
inferredcites →https://doi.org/10.1109/icdarw.2019.40097openalex-snapshot
Table Localization and Segmentation using GAN and CNN
inferredcites →https://doi.org/10.1109/icdarw.2019.40098openalex-snapshot
Table Understanding in Structured Documents
inferredcites →https://doi.org/10.1109/icpr.2002.1047838openalex-snapshot
Trainable table location in document images
inferredcites →https://doi.org/10.1109/icpr48806.2021.9411922openalex-snapshot
CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images
inferredcites →https://doi.org/10.1109/ictc55111.2022.9778621openalex-snapshot
RCANet: A Rows and Columns Aggregated Network for Table Structure Recognition
inferredcites →https://doi.org/10.1109/mci.2018.2840738openalex-snapshot
Recent Trends in Deep Learning Based Natural Language Processing [Review Article]
inferredcites →https://doi.org/10.1109/nafips-wconsc.2015.7284129openalex-snapshot
Computing text similarity using Tree Edit Distance
inferredcites →https://doi.org/10.1109/seaa.2018.00018openalex-snapshot
Software Engineering Challenges of Deep Learning
inferredcites →https://doi.org/10.1109/tpami.2013.50openalex-snapshot
Representation Learning: A Review and New Perspectives
inferredcites →https://doi.org/10.1109/wacv48630.2021.00074openalex-snapshot
Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context
inferredcites →https://doi.org/10.1117/12.476326openalex-snapshot
Document structure analysis algorithms: a literature survey
inferredcites →https://doi.org/10.1145/1815330.1815339openalex-snapshot
Table detection in heterogeneous documents
inferredcites →https://doi.org/10.1145/1815330.1815345openalex-snapshot
An open approach towards the benchmarking of table structure recognition systems
inferredcites →https://doi.org/10.1145/2361354.2361365openalex-snapshot
A methodology for evaluating algorithms for table understanding in PDF documents
inferredcites →https://doi.org/10.1145/3178115openalex-snapshot
Deep Learning for Environmentally Robust Speech Recognition
inferredcites →https://doi.org/10.1145/3197026.3197040openalex-snapshot
Extracting Scientific Figures with Distantly Supervised Neural Networks
inferredcites →https://doi.org/10.1145/3293353openalex-snapshot
Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing
inferredcites →https://doi.org/10.1145/3503161.3547911openalex-snapshot
DiT: Self-supervised Pre-training for Document Image Transformer
inferredcites →https://doi.org/10.1145/3626772.3657889openalex-snapshot
ArabicaQA: A Comprehensive Dataset for Arabic Question Answering
inferredcites →https://doi.org/10.1145/511446.511478openalex-snapshot
A machine learning based approach for table detection on the web
inferredcites →https://doi.org/10.1177/0165551514551903openalex-snapshot
On methods and tools of table detection, extraction and annotation in PDF documents
inferredcites →https://doi.org/10.14428/esann/2021.es2021-109openalex-snapshot
TSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.398openalex-snapshot
TaPas: Weakly Supervised Table Parsing via Pre-training
inferredcites →https://doi.org/10.3115/980431openalex-snapshot
Proceedings of the 10th international conference on Computational linguistics -
inferredcites →https://doi.org/10.3390/a11030028openalex-snapshot
Modified Convolutional Neural Network Based on Dropout and the Stochastic Gradient Descent Optimizer
inferredcites →https://doi.org/10.3390/s23167094openalex-snapshot
GANMasker: A Two-Stage Generative Adversarial Network for High-Quality Face Mask Removal
inferredcites →https://doi.org/10.48550/arxiv.1708.02709openalex-snapshot
Recent Trends in Deep Learning Based Natural Language Processing
inferredcites →https://doi.org/10.5860/choice.48-5140openalex-snapshot
Computer vision: algorithms and applications
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-032-36023-6_36openalex-snapshot
Multilingual Table Recognition: A Benchmark Dataset and A Local-Global Hybrid Model
inferred← citeshttps://doi.org/10.1007/978-3-032-36042-7_2openalex-snapshot
Active Learning for Cascaded Object Detection: Balancing Coverage and Uncertainty in Table Extraction Pipelines
inferred← citeshttps://doi.org/10.1007/978-3-032-36042-7_3openalex-snapshot
ConRTF: Edge-Constrained Boundary Distribution Refinement for Realtime TransFormer Table Structure Recognition
inferred← citeshttps://doi.org/10.1016/j.softx.2026.102696openalex-snapshot
ConsBASE: End-to-end ETL pipeline for Korean construction document integration
inferred← citeshttps://doi.org/10.1109/access.2024.3360528openalex-snapshot
An Overview of Data Extraction From Invoices
inferred← citeshttps://doi.org/10.1109/access.2025.3548133openalex-snapshot
A Comprehensive Review on Light Field Occlusion Removal: Trends, Challenges, and Future Directions
inferred← citeshttps://doi.org/10.1109/bigdata62323.2024.10825230openalex-snapshot
Table Structure Recognition via Encoder/Decoder Vision Transformers
inferred← citeshttps://doi.org/10.1109/cei60616.2023.10528031openalex-snapshot
Advancing Table Detection In Engineering Drawings Through Synthetic Data Generation
inferred← citeshttps://doi.org/10.1109/conecct68978.2026.11700625openalex-snapshot
TDSRNet: Lightweight & Robust Table Detection and Structure Recognition for Mobile Screenshots
inferred← citeshttps://doi.org/10.1109/cscwd57460.2023.10152650openalex-snapshot
A Novel Encoder-Decoder Architecture for Table Border Segmentation of Scanned Documents
inferred← citeshttps://doi.org/10.1109/icad69378.2026.11608717openalex-snapshot
Lightweight and Maintainable Approach for Table Detection
inferred← citeshttps://doi.org/10.1109/icccs69761.2026.11613456openalex-snapshot
Research on Table Structure Recognition Based on Graph Neural Networks and Multimodality
inferred← citeshttps://doi.org/10.1109/iccvbic71195.2026.11688604openalex-snapshot
An Explainable AI-Based Unified Vendor Risk Assessment System
inferred← citeshttps://doi.org/10.1109/iccvw69036.2025.00370openalex-snapshot
Efficient Additive Attention for Transformer-Based Semi-Supervised Document Layout Analysis
inferred← citeshttps://doi.org/10.1109/iccvw69036.2025.00781openalex-snapshot
DocSemi: Efficient Document Layout Analysis with Guided Queries
inferred← citeshttps://doi.org/10.1109/iceccc65144.2025.11063807openalex-snapshot
A Hybrid Approach Combining YOLO and Visual Image Transformers for Automated Mark Digitization of Exam Scripts
inferred← citeshttps://doi.org/10.1109/icicml67980.2025.11333421openalex-snapshot
Performance Optimization Method of Adaptive Processing Chain in Electronic Reconstruction of Table Images
inferred← citeshttps://doi.org/10.1109/iicai70155.2026.11620979openalex-snapshot
An Extended Table Detection Framework for Enhanced Recognition of Persian Tables in OCR Systems
inferred← citeshttps://doi.org/10.1109/iscait69154.2026.11477242openalex-snapshot
Visual Table Understanding: Methods, Challenges and Future Directions
inferred← citeshttps://doi.org/10.1109/niss66502.2025.00027openalex-snapshot
AI-Enhanced Data Extraction Models for Scalabale and Efficient Distributed Architecture
inferred← citeshttps://doi.org/10.1109/qpain69676.2026.11546582openalex-snapshot
Edge-Native Digitization of Handwritten Marksheets: A Hybrid Heuristic-Deep Learning Framework
inferred← citeshttps://doi.org/10.1109/smc53992.2023.10394093openalex-snapshot
M2SH: A Hybrid Approach to Table Structure Recognition using Two-Stage Multi-Modality Feature Fusion
inferred← citeshttps://doi.org/10.1109/smc54092.2024.10831886openalex-snapshot
VTLL: Visual-Texture Multi-Modal Fusion for Table Structure Recognition Based on Logic Location Regression
inferred← citeshttps://doi.org/10.1109/tpami.2026.3657217openalex-snapshot
Representation Learning for Tabular Data: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1109/wacv61041.2025.00857openalex-snapshot
TRH2TQA: Table Recognition with Hierarchical Relationships to Table Question-Answering on Business Table Images
inferred← citeshttps://doi.org/10.1109/wacv61042.2026.00627openalex-snapshot
UniTabBank: A Large Scale Multi-Lingual, Multi-Layout, Multi-Type, Multi-Format Dataset for Table Detection
inferred← citeshttps://doi.org/10.1145/3677389.3702599openalex-snapshot
The BeeProject: Advanced Digitisation and Creation of a Dataset for the Monitoring of Beehives
inferred← citeshttps://doi.org/10.1145/3706598.3713084openalex-snapshot
Towards More Accessible Scientific PDFs for People with Visual Impairments: Step-by-Step PDF Remediation to Improve Tag Accuracy
inferred← citeshttps://doi.org/10.15388/lmitt.2025.22openalex-snapshot
Recognising the contents in digitised financial documents
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3385141/v1openalex-snapshot
Utilizing Deep Learning Algorithm and Image Processing Techniques for the Localization and Quantitative Analysis of Infographics in Resumes
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4391424/v1openalex-snapshot
Data Rescue for Historical Document Tables Using Semi-Supervised Learning
inferred← citeshttps://doi.org/10.21203/rs.3.rs-9909962/v1openalex-snapshot
LEGR: Learnable-Edge Graph Refinement for Table Structure Recognition
inferred← citeshttps://doi.org/10.3390/app14209332openalex-snapshot
Occlusion Removal in Light-Field Images Using CSPDarknet53 and Bidirectional Feature Pyramid Network: A Multi-Scale Fusion-Based Approach
inferred← citeshttps://doi.org/10.3390/diagnostics15233039openalex-snapshot
Enhancing Medical Diagnosis Document Analysis with Layout-Aware Multitask Models
inferred← citeshttps://doi.org/10.3390/math13020266openalex-snapshot
HTTD: A Hierarchical Transformer for Accurate Table Detection in Document Images
inferred← citeshttps://doi.org/10.3390/math14010025openalex-snapshot
Lightweight and Accurate Table Recognition via Improved SLANet with Multi-Phase Training Strategy
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.