mlsanityData to 7 Oct 2026

TNCR: Table Net Detection and Classification Dataset

arXiv 2106.15322 ↗First posted 19 Jun 2021cs.CV cs.AIcited by 14

Not on the map. Why?

Abstract (arXiv)

We present TNCR, a new table dataset with varying image quality collected from free websites. The TNCR dataset can be used for table detection in scanned document images and their classification into 5 different classes. TNCR contains 9428 high-quality labeled images. In this paper, we have implemented state-of-the-art deep learning-based methods for table detection to create several strong baselines. Cascade Mask R-CNN with ResNeXt-101-64x4d Backbone Network achieves the highest performance compared to other methods with a precision of 79.7%, recall of 89.8%, and f1 score of 84.4% on the TNCR dataset. We have made TNCR open source in the hope of encouraging more deep learning approaches to table detection, classification, and structure recognition. The dataset and trained model checkpoints are available at https://github.com/abdoelsayed2016/TNCR_Dataset.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). Builds on 29 of its 62 references that are in the map. First posted on arXiv 19 Jun 2021.

Builds on

29 of 62 references.

References · 29

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,617
  3. 2020End-to-End Object Detection with Transformerscited by 7,384
  4. 2017Mask R-CNNcited by 7,259
  5. 2014Fully Convolutional Networks for Semantic Segmentationcited by 4,845
  6. 2018YOLOv3: An Incremental Improvementcited by 2,652
  7. 2016Aggregated Residual Transformations for Deep Neural Networkscited by 2,540
  8. 2019MMDetection: Open MMLab Detection Toolbox and Benchmarkcited by 1,379
  9. 2019Deep High-Resolution Representation Learning for Human Pose Estimationcited by 1,339
  10. 2017Convolutional Sequence to Sequence Learningcited by 550
  11. 2018Object Detection with Deep Learning: A Reviewcited by 524
  12. 2019Hybrid Task Cascade for Instance Segmentationcited by 479
17 more
  1. 2020ResNeSt: Split-Attention Networkscited by 445
  2. 2019Cascade R-CNN: High Quality Object Detection and Instance Segmentationcited by 428
  3. 2016ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentationcited by 291
  4. 2019Image-based table recognition: data, model, and evaluationcited by 233
  5. 2019High-Resolution Representations for Labeling Pixels and Regionscited by 211
  6. 2020Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Trainingcited by 103
  7. 2019TableBank: A Benchmark Dataset for Table Detection and Recognitioncited by 102
  8. 2020CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documentscited by 98
  9. 2020TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Imagescited by 69
  10. 2019Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolutioncited by 57
  11. 2018Extracting Scientific Figures with Distantly Supervised Neural Networkscited by 36
  12. 2020Attention-based Fully Gated CNN-BGRU for Russian Handwritten Textcited by 17
  13. 2018A Saliency-based Convolutional Neural Network for Table and Chart Detection in Digitized Documentscited by 15
  14. 2020Automated Question Answer medical model based on Deep Learning Technologycited by 9
  15. 2021Classification of Handwritten Names of Cities and Handwritten Text Recognition using Various Deep Learning Modelscited by 5
  16. 2021Deep Structured Feature Networks for Table Detection and Tabular Data Extraction from Scanned Financial Document Imagescited by 2
  17. 2019Document Structure Extraction using Prior based High Resolution Hierarchical Semantic Segmentationcited by 1

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 2; 2023: 4; 2024: 2; 2025: 2; 2026: 3.

14 papers.

Sort:

By area:

  1. 2021Document AI: Benchmarks, Models and Applicationscited by 61
  2. 2023Toward Real Text Manipulation Detection: New Dataset and New Solutioncited by 20
  3. 2025Logics-Parsing Technical Reportcited by 16
  4. 2022Deep learning for table detection and structure recognition: A surveycited by 14
  5. 2023Table Detection for Visually Rich Document Imagescited by 6
  6. 2024Transformers and Language Models in Form Understanding: A Comprehensive Review of Scanned Document Analysiscited by 6
  7. 2025DocSAM: Unified Document Image Segmentation via Query Decomposition and Heterogeneous Mixed Learningcited by 4
  8. 2026Logics-Parsing-Omni Technical Reportcited by 4
  9. 2023Customer Profiling, Segmentation, and Sales Prediction using AI in Direct Marketingcited by 3
  10. 2023Revisiting Table Detection Datasets for Visually Rich Documentscited by 3
  11. 2024A Comprehensive Survey of Masked Faces: Recognition, Detection, and Unmaskingcited by 1
  12. 2026Leveraging Contrastive Learning for a Similarity-Guided Tampered Document Data Generation Pipelinecited by 1
2 more
  1. 2022DATa: Domain Adaptation-Aided Deep Table Detection Using Visual-Lexical Representationscited by 0
  2. 2026EMBLEM: Enhancing Multi-script Table Detection through Maskingcited by 0