Search Results for author: Teakgyu Hong

Found 5 papers, 3 papers with code

On Web-based Visual Corpus Construction for Visual Document Understanding

1 code implementation7 Nov 2022 Donghyun Kim, Teakgyu Hong, Moonbin Yim, Yoonsik Kim, Geewook Kim

In recent years, research on visual document understanding (VDU) has grown significantly, with a particular emphasis on the development of self-supervised learning methods.

document understanding Optical Character Recognition (OCR) +1

OCR-free Document Understanding Transformer

4 code implementations30 Nov 2021 Geewook Kim, Teakgyu Hong, Moonbin Yim, Jeongyeon Nam, Jinyoung Park, Jinyeong Yim, Wonseok Hwang, Sangdoo Yun, Dongyoon Han, Seunghyun Park

Current Visual Document Understanding (VDU) methods outsource the task of reading text to off-the-shelf Optical Character Recognition (OCR) engines and focus on the understanding task with the OCR outputs.

Document Image Classification document understanding +3

BROS: A Pre-trained Language Model for Understanding Texts in Document

no code implementations1 Jan 2021 Teakgyu Hong, Donghyun Kim, Mingi Ji, Wonseok Hwang, Daehyun Nam, Sungrae Park

Although the recent advance in OCR enables the accurate extraction of text segments, it is still challenging to extract key information from documents due to the diversity of layouts.

Document Layout Analysis document understanding +2

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