Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration-Reference-Cited by-同舟云学术

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Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration

Published:2023-10-01 Issue: Volume: Page:19460-19470
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Cao Haoyu¹,Bao Changcun¹,Liu Chaohu¹,Chen Huang¹,Yin Kun¹,Liu Hao¹,Liu Yinsong¹,Jiang Deqiang¹,Sun Xing¹

Affiliation:

1. Tencent YouTu Lab

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10376676.pdf?arnumber=10376676

Reference51 articles.

1. Robotic Process Automation: An Overview and Comparison to Other Technology in Industry 4.0

2. Query-driven Generative Network for Document Information Extraction in the Wild

3. GMN: Generative Multi-modal Network for Practical Document Information Extraction

4. End-to-End Object Detection with Transformers

5. Per-pixel classification is not all you need for semantic segmentation;Cheng

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Kyrtos: A methodology for automatic deep analysis of graphic charts with curves in technical documents;Pattern Recognition;2025-01

2. Multi-Class Document Classification using LayoutLMv1 and V2;2024 26th International Conference on Advanced Communications Technology (ICACT);2024-02-04

3. CREPE: Coordinate-Aware End-to-End Document Parser;Lecture Notes in Computer Science;2024

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