TRIE++: Towards End-to-End Information Extraction from Visually Rich Documents

14 July 2022

Papers citing "TRIE++: Towards End-to-End Information Extraction from Visually Rich Documents"

6 / 6 papers shown

Title
Reconstructing training data from document understanding models Jérémie Dentan Arnaud Paran A. Shabou AAML SyDa 32 1 0 05 Jun 2024
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 137 492 0 29 Dec 2020
FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents Guillaume Jaume H. K. Ekenel Jean-Philippe Thiran 112 353 0 27 May 2019
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 210 1,391 0 04 Dec 2018
Arbitrary-Oriented Scene Text Detection via Rotation Proposals Jianqi Ma Weiyuan Shao Hao Ye Li Wang Hong Wang Yingbin Zheng Xiangyang Xue 156 1,170 0 03 Mar 2017
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding Akira Fukui Dong Huk Park Daylen Yang Anna Rohrbach Trevor Darrell Marcus Rohrbach 144 1,458 0 06 Jun 2016