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20192021
most citedDecoupled Attention Network for Text Recognition

8 citations · 10 across the 3 of their papers we have counts for

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Showing cs.CVShow all

6 papers · 1 filter

cs.CV2023

Conditional Text Image Generation with Diffusion Models

Yuanzhi Zhu, Zhaohai Li, Tianwei Wang +2

Current text recognition systems, including those for handwritten scripts and scene text, have relied heavily on image synthesis and augmentation, since it is difficult to realize…

cs.CV20212 cited

Tag, Copy or Predict: A Unified Weakly-Supervised Learning Framework for Visual Information Extraction using Sequences

Jiapeng Wang, Tianwei Wang, Guozhi Tang +4

Visual information extraction (VIE) has attracted increasing attention in recent years. The existing methods usually first organized optical character recognition (OCR) results int…

cs.CV2021

Implicit Feature Alignment: Learn to Convert Text Recognizer to Text Spotter

Tianwei Wang, Yuanzhi Zhu, Lianwen Jin +5

Text recognition is a popular research subject with many associated challenges. Despite the considerable progress made in recent years, the text recognition task itself is still co…

cs.CV2020

Text Recognition in the Wild: A Survey

Xiaoxue Chen, Lianwen Jin, Yuanzhi Zhu +2

The history of text can be traced back over thousands of years. Rich and precise semantic information carried by text is important in a wide range of vision-based application scena…

cs.CV20198 cited

Decoupled Attention Network for Text Recognition

Tianwei Wang, Yuanzhi Zhu, Lianwen Jin +5

Text recognition has attracted considerable research interests because of its various applications. The cutting-edge text recognition methods are based on attention mechanisms. How…

cs.CV2019

Adaptive Embedding Gate for Attention-Based Scene Text Recognition

Xiaoxue Chen, Tianwei Wang, Yuanzhi Zhu +2

Scene text recognition has attracted particular research interest because it is a very challenging problem and has various applications. The most cutting-edge methods are attention…