PubTables-1M: Towards comprehensive table extraction from unstructured documents-Reference-Cited by-同舟云学术

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PubTables-1M: Towards comprehensive table extraction from unstructured documents

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
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Author:

Smock Brandon¹,Pesala Rohith¹,Abraham Robin¹

Affiliation:

1. Microsoft,Redmond,WA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879666.pdf?arnumber=9879666

Reference22 articles.

1. PDF-TREX: An Approach for Recognizing and Extracting Tables from PDF Documents

2. TableNet: Deep Learning Model for End-to-end Table Detection and Tabular Data Extraction from Scanned Document Images

3. Table extraction using conditional random fields

4. CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents

5. Rethinking Table Recognition using Graph Neural Networks

Cited by 46 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. LORE++: Logical location regression network for table structure recognition with pre-training;Pattern Recognition;2025-01

2. Table representation learning using heterogeneous graph embedding;Pattern Recognition;2024-12

3. A survey for table recognition based on deep learning;Neurocomputing;2024-10

4. Object Recognition from Scientific Document Based on Compartment and Text Blocks Refinement Framework;SN Computer Science;2024-08-23

5. Dual-branch dilated context convolutional for table detection transformer in the document images;The Visual Computer;2024-07-16

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