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Semantic Table Detection with LayoutLMv3

arXiv 2211.15504 ↗First posted 25 Nov 2022cs.CV cs.CLcited by 0

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Abstract (arXiv)

This paper presents an application of the LayoutLMv3 model for semantic table detection on financial documents from the IIIT-AR-13K dataset. The motivation behind this paper's experiment was that LayoutLMv3's official paper had no results for table detection using semantic information. We concluded that our approach did not improve the model's table detection capabilities, for which we can give several possible reasons. Either the model's weights were unsuitable for our purpose, or we needed to invest more time in optimising the model's hyperparameters. It is also possible that semantic information does not improve a model's table detection accuracy.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 12 of its 16 references that are in the map. First posted on arXiv 25 Nov 2022.

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References · 12

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  3. 2020Language Models are Few-Shot Learnerscited by 32,199
  4. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,617
  5. 2018CornerNet: Detecting Objects as Paired Keypointscited by 763
  6. 2022LayoutLMv3: Pre-training for Document AI with Unified Text and Image Maskingcited by 481
  7. 2019PubLayNet: largest dataset ever for document layout analysiscited by 349
  8. 2022DiT: Self-supervised Pre-training for Document Image Transformercited by 152
  9. 2020Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Contextcited by 146
  10. 2021Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformercited by 134
  11. 2020LAMBERT: Layout-Aware (Language) Modeling for information extractioncited by 53
  12. 2022Robust Table Detection and Structure Recognition from Heterogeneous Document Imagescited by 30

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