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08/18/2023
OCR Language Models with Custom Vocabularies
Language models are useful adjuncts to optical models for producing accu...
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08/01/2023
Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models
Today, large language models (LLMs) are taught to use new tools by provi...
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05/16/2023
ICDAR 2023 Competition on Hierarchical Text Detection and Recognition
We organize a competition on hierarchical text detection and recognition...
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05/04/2023
Text Reading Order in Uncontrolled Conditions by Sparse Graph Segmentation
Text reading order is a crucial aspect in the output of an OCR engine, w...
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05/03/2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
Deploying large language models (LLMs) is challenging because they are m...
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03/28/2022
Towards End-to-End Unified Scene Text Detection and Layout Analysis
Scene text detection and document layout analysis have long been treated...
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03/17/2022
Unified Line and Paragraph Detection by Graph Convolutional Networks
We formulate the task of detecting lines and paragraphs in a document in...
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03/16/2022
FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction
Sequence modeling has demonstrated state-of-the-art performance on natur...
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06/21/2021
ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction
Natural reading orders of words are crucial for information extraction f...
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04/15/2021
Rethinking Text Line Recognition Models
In this paper, we study the problem of text line recognition. Unlike mos...
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01/29/2021
General-Purpose OCR Paragraph Identification by Graph Convolutional Neural Networks
Paragraphs are an important class of document entities. We propose a new...
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08/24/2019
Towards Unconstrained End-to-End Text Spotting
We propose an end-to-end trainable network that can simultaneously detec...
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04/19/2019
