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Found 5 papers, 4 papers with code
TableVQA-Bench: A Visual Question Answering Benchmark on Multiple Table Domains
QA pairs are generated by exploiting the large language model (LLM) where the input is a text-formatted table.
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 #7 on
Key-value Pair Extraction
on SIBR
RewriteNet: Reliable Scene Text Editing with Implicit Decomposition of Text Contents and Styles
Scene text editing (STE), which converts a text in a scene image into the desired text while preserving an original style, is a challenging task due to a complex intervention between text and style.
SynthTIGER: Synthetic Text Image GEneratoR Towards Better Text Recognition Models
For successful scene text recognition (STR) models, synthetic text image generators have alleviated the lack of annotated text images from the real world.
