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Found 5 papers, 3 papers with code
On Web-based Visual Corpus Construction for Visual Document Understanding
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
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.
Ranked #10 on
Document Image Classification
on RVL-CDIP
HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning
Compared to previous works, our method shows better or comparable performance on dense prediction fine-tuning tasks.
BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents
On the other hand, this paper tackles the problem by going back to the basic: effective combination of text and layout.
Ranked #5 on
Relation Extraction
on FUNSD
BROS: A Pre-trained Language Model for Understanding Texts in Document
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.
