2022-07-11: A Summary of "Document Domain Randomization for Deep Learning Document Layout Analysis" (Ling et al. 2021 ICDAR)
Document Understanding is the task of automatically parsing and ingesting the content of documents into a system using artificial intelligence methods to accomplish downstream challenges, such as information retrieval, Q&A, text and non-textual analysis. Document Understanding has trending importance in processing digital documents at scale. Many documents are visually rich, meaning layout and visual information are critical to understanding document content. In the scholarly domain, the layout analysis is challenging due to various document templates (e.g., single or double-column papers), which have title pages, section headings, tables, figures, algorithms, equations, references, and so on. To build an intelligent system to process such downstream tasks, annotating a large number of documents is laborious. Besides, developing training data with an equal amount of samples for each template is challenging and may not be attainable at a large scale. Thus, we often see im...