2.2k citations · 10.6k across the 92 of their papers we have counts for
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Searching a High-Performance Feature Extractor for Text Recognition Network
Hui Zhang, Quanming Yao, James T. Kwok +1
Feature extractor plays a critical role in text recognition (TR), but customizing its architecture is relatively less explored due to expensive manual tweaking. In this work, inspi…
Toward Understanding WordArt: Corner-Guided Transformer for Scene Text Recognition
Xudong Xie, Ling Fu, Zhifei Zhang +2
Artistic text recognition is an extremely challenging task with a wide range of applications. However, current scene text recognition methods mainly focus on irregular text while h…
Reading and Writing: Discriminative and Generative Modeling for Self-Supervised Text Recognition
Mingkun Yang, Minghui Liao, Pu Lu +5
Existing text recognition methods usually need large-scale training data. Most of them rely on synthetic training data due to the lack of annotated real images. However, there is a…
Knowledge Mining with Scene Text for Fine-Grained Recognition
Hao Wang, Junchao Liao, Tianheng Cheng +5
Recently, the semantics of scene text has been proven to be essential in fine-grained image classification. However, the existing methods mainly exploit the literal meaning of scen…
Syntax-Aware Network for Handwritten Mathematical Expression Recognition
Ye Yuan, Xiao Liu, Wondimu Dikubab +4
Handwritten mathematical expression recognition (HMER) is a challenging task that has many potential applications. Recent methods for HMER have achieved outstanding performance wit…
Real-Time Scene Text Detection with Differentiable Binarization and Adaptive Scale Fusion
Minghui Liao, Zhisheng Zou, Zhaoyi Wan +2
Recently, segmentation-based scene text detection methods have drawn extensive attention in the scene text detection field, because of their superiority in detecting the text insta…