ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2207.13979
  4. Cited By

Knowing Where and What: Unified Word Block Pretraining for Document Understanding

28 July 2022
Song Tao
Zijian Wang
Tiantian Fan
Canjie Luo
Can Huang
    SSL
ArXivPDFHTML

Papers citing "Knowing Where and What: Unified Word Block Pretraining for Document Understanding"

5 / 5 papers shown
Title
Modeling Layout Reading Order as Ordering Relations for Visually-rich
  Document Understanding
Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding
Chong Zhang
Yi Tu
Yixi Zhao
Chenshu Yuan
Huan Chen
...
Mingxu Chai
Ya Guo
Huijia Zhu
Qi Zhang
Tao Gui
43
2
0
29 Sep 2024
Tur[k]ingBench: A Challenge Benchmark for Web Agents
Tur[k]ingBench: A Challenge Benchmark for Web Agents
Kevin Xu
Yeganeh Kordi
Kate Sanders
Yizhong Wang
Adam Byerly
Kate Sanders
Adam Byerly
Jingyu Zhang
Benjamin Van Durme
Daniel Khashabi
LLMAG
75
6
0
18 Mar 2024
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,443
0
11 Nov 2021
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document
  Understanding
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
153
498
0
29 Dec 2020
FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents
FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents
Guillaume Jaume
H. K. Ekenel
Jean-Philippe Thiran
134
355
0
27 May 2019
1