DocumentNet: Bridging the Data Gap in Document Pre-Training

15 June 2023

Papers citing "DocumentNet: Bridging the Data Gap in Document Pre-Training"

6 / 6 papers shown

Title
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,412 0 11 Nov 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,764 0 24 Feb 2021
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding Yang Xu Yiheng Xu Tengchao Lv Lei Cui Furu Wei ... D. Florêncio Cha Zhang Wanxiang Che Min Zhang Lidong Zhou ViT MLLM 142 498 0 29 Dec 2020
FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents Guillaume Jaume H. K. Ekenel Jean-Philippe Thiran 119 353 0 27 May 2019
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 261 10,196 0 16 Nov 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,724 0 26 Sep 2016