Overview
The LayoutLM model was proposed in the paper LayoutLM: Pre-training of Text and Layout for Document Image
Understanding by Yiheng Xu, Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, and
Ming Zhou. It's a simple but effective pretraining method of text and layout for document image understanding and
information extraction tasks, such as form understanding and receipt understanding. It obtains state-of-the-art results
on several downstream tasks:
form understanding: the FUNSD dataset (a collection of 199 annotated
  forms comprising more than 30,000 words).
receipt understanding: the SROIE dataset (a collection of 626 receipts for
  training and 347 receipts for testing).
document image classification: the RVL-CDIP dataset (a collection of
  400,000 images belonging to one of 16 classes).
