Table Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

10 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

25 shown of 25 papers with code (58 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images
  6 Jan 2020 5 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  This includes accurate detection of the tabular region within an image, and subsequently detecting and extracting information from the rows and columns of the detected table.
• DiT: Self-supervised Pre-training for Document Image Transformer
  4 Mar 2022 4 repositories listed Syntology ran 0 of 11 samples · 11 unverified
  We leverage DiT as the backbone network in a variety of vision-based Document AI tasks, including document image classification, document layout analysis, table detection as well as text detection for OCR.
• Deep learning for table detection and structure recognition: A survey
  15 Nov 2022 3 repositories listed
  The goals of this survey are to provide a profound comprehension of the major developments in the field of Table Detection, offer insight into the different methodologies, and provide a systematic taxonomy of the…
• CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images
  25 Aug 2020 3 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  Localizing page elements/objects such as tables, figures, equations, etc.
• CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents
  27 Apr 2020 3 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  In this paper, we present an improved deep learning-based end to end approach for solving both problems of table detection and structure recognition using a single Convolution Neural Network (CNN) model.
• SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
  12 Jul 2024 2 repositories listed
  Finally, we propose Chain of Spreadsheet for downstream tasks of spreadsheet understanding and validate in a new and demanding spreadsheet QA task.
• PubTables-1M: Towards comprehensive table extraction from unstructured documents
  30 Sep 2021 2 repositories listed Syntology ran 5 of 13 samples · 8 unverified · 10 pointer-only (licence)
  We demonstrate that these improvements lead to a significant increase in training performance and a more reliable estimate of model performance at evaluation for table structure recognition.
• Table understanding in structured documents
  22 Mar 2019 2 repositories listed
  We will work on our newly presented dataset of pro forma invoices, invoices and debit note documents using this representation and propose multiple baselines to solve this labeling problem.
• TableBank: A Benchmark Dataset for Table Detection and Recognition
  5 Mar 2019 2 repositories listed
  We present TableBank, a new image-based table detection and recognition dataset built with novel weak supervision from Word and Latex documents on the internet.
• UniHDSA: A Unified Relation Prediction Approach for Hierarchical Document Structure Analysis
  20 Mar 2025 1 repository listed
  Document structure analysis, aka document layout analysis, is crucial for understanding both the physical layout and logical structure of documents, serving information retrieval, document summarization, knowledge…
• TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy
  3 Jun 2024 1 repository listed
  In this mechanism, all the involved diverse visual table understanding (VTU) tasks and multi-source visual embeddings are abstracted as concepts.
• ClusterTabNet: Supervised clustering method for table detection and table structure recognition
  12 Feb 2024 1 repository listed Syntology ran 16 of 16 samples · 0 unverified
  We present a novel deep-learning-based method to cluster words in documents which we apply to detect and recognize tables given the OCR output.
• Table Detection for Visually Rich Document Images
  30 May 2023 1 repository listed
  Table Detection (TD) is a fundamental task to enable visually rich document understanding, which requires the model to extract information without information loss.
• A large-scale dataset for end-to-end table recognition in the wild
  27 Mar 2023 1 repository listed
  To this end, we propose a new large-scale dataset named Table Recognition Set (TabRecSet) with diverse table forms sourcing from multiple scenarios in the wild, providing complete annotation dedicated to end-to-end TR…
• Aligning benchmark datasets for table structure recognition
  1 Mar 2023 1 repository listed
  However, even if a dataset's annotations are self-consistent, there may be significant inconsistency across datasets, which can harm the performance of models trained and evaluated on them.
• CTE: A Dataset for Contextualized Table Extraction
  2 Feb 2023 1 repository listed
  We define the task of Contextualized Table Extraction (CTE), which aims to extract and define the structure of tables considering the textual context of the document.
• Table Detection in the Wild: A Novel Diverse Table Detection Dataset and Method
  31 Aug 2022 1 repository listed
  In this paper, we introduce a diverse large-scale dataset for table detection with more than seven thousand samples containing a wide variety of table structures collected from many diverse sources.
• Doc2Graph: a Task Agnostic Document Understanding Framework based on Graph Neural Networks
  23 Aug 2022 1 repository listed
  Geometric Deep Learning has recently attracted significant interest in a wide range of machine learning fields, including document analysis.
• TableSense: Spreadsheet Table Detection with Convolutional Neural Networks
  25 Jun 2021 1 repository listed
  Spreadsheet table detection is the task of detecting all tables on a given sheet and locating their respective ranges.
• TNCR: Table Net Detection and Classification Dataset
  19 Jun 2021 1 repository listed
  Cascade Mask R-CNN with ResNeXt-101-64x4d Backbone Network achieves the highest performance compared to other methods with a precision of 79.
• Flexible Table Recognition and Semantic Interpretation System
  25 May 2021 1 repository listed
  Moreover, to incorporate the extraction of semantic information, we develop a graph-based table interpretation method.
• Multi-Type-TD-TSR -- Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition: from OCR to Structured Table Representations
  23 May 2021 1 repository listed
  It utilizes state-of-the-art deep learning models for table detection and differentiates between 3 different types of tables based on the tables' borders.
• TableBank: Table Benchmark for Image-based Table Detection and Recognition
  1 May 2020 1 repository listed
  We present TableBank, a new image-based table detection and recognition dataset built with novel weak supervision from Word and Latex documents on the internet.
• The Benefits of Close-Domain Fine-Tuning for Table Detection in Document Images
  12 Dec 2019 1 repository listed
  A correct localisation of tables in a document is instrumental for determining their structure and extracting their contents; therefore, table detection is a key step in table understanding.
• A framework for information extraction from tables in biomedical literature
  26 Feb 2019 1 repository listed
  The scientific literature is growing exponentially, and professionals are no more able to cope with the current amount of publications.

Syntology lines on 6 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.