research
∙
03/04/2022
DiT: Self-supervised Pre-training for Document Image Transformer
Image Transformer has recently achieved significant progress for natural...
share
research
∙
11/16/2021
Document AI: Benchmarks, Models and Applications
Document AI, or Document Intelligence, is a relatively new research topi...
research
∙
10/16/2021
MarkupLM: Pre-training of Text and Markup Language for Visually-rich Document Understanding
Multimodal pre-training with text, layout, and image has made significan...
research
∙
08/26/2021
LayoutReader: Pre-training of Text and Layout for Reading Order Detection
Reading order detection is the cornerstone to understanding visually-ric...
research
∙
04/18/2021
LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding
Multimodal pre-training with text, layout, and image has achieved SOTA p...
research
∙
01/20/2021
Marius: Learning Massive Graph Embeddings on a Single Machine
We propose a new framework for computing the embeddings of large-scale g...
research
∙
12/29/2020
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
Pre-training of text and layout has proved effective in a variety of vis...
research
∙
06/01/2020
DocBank: A Benchmark Dataset for Document Layout Analysis
Document layout analysis usually relies on computer vision models to und...
research
∙
12/31/2019