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Pushing the Performance Limit of Scene Text Recognizer without Human
  Annotation

Pushing the Performance Limit of Scene Text Recognizer without Human Annotation

16 April 2022
Caiyuan Zheng
Hui Li
Seon-Min Rhee
Seungju Han
Jae-Joon Han
Peng Wang
ArXivPDFHTML

Papers citing "Pushing the Performance Limit of Scene Text Recognizer without Human Annotation"

15 / 15 papers shown
Title
PIMNet: A Parallel, Iterative and Mimicking Network for Scene Text
  Recognition
PIMNet: A Parallel, Iterative and Mimicking Network for Scene Text Recognition
Zhi Qiao
Yu Zhou
Jin Wei
Wei Wang
Yuanqing Zhang
Ning Jiang
Hongbin Wang
Weiping Wang
31
70
0
09 Sep 2021
Read Like Humans: Autonomous, Bidirectional and Iterative Language
  Modeling for Scene Text Recognition
Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition
Shancheng Fang
Hongtao Xie
Yuxin Wang
Zhendong Mao
Yongdong Zhang
44
302
0
11 Mar 2021
Understanding self-supervised Learning Dynamics without Contrastive
  Pairs
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
164
282
0
12 Feb 2021
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
231
6,718
0
13 Jun 2020
SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text
  Recognition
SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition
Zhi Qiao
Yu Zhou
Dongbao Yang
Yucan Zhou
Weiping Wang
42
227
0
22 May 2020
Towards Accurate Scene Text Recognition with Semantic Reasoning Networks
Towards Accurate Scene Text Recognition with Semantic Reasoning Networks
Deli Yu
Xuan Li
Chengquan Zhang
Junyu Han
Jingtuo Liu
Errui Ding
71
286
0
27 Mar 2020
TextScanner: Reading Characters in Order for Robust Scene Text
  Recognition
TextScanner: Reading Characters in Order for Robust Scene Text Recognition
Zhaoyi Wan
Minghang He
Haoran Chen
X. Bai
Cong Yao
24
139
0
28 Dec 2019
Decoupled Attention Network for Text Recognition
Decoupled Attention Network for Text Recognition
Tianwei Wang
Yuanzhi Zhu
Lianwen Jin
Canjie Luo
Xiaoxue Chen
Y. Wu
Qianying Wang
Mingxiang Cai
104
254
0
21 Dec 2019
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
170
2,375
0
11 Nov 2019
Unsupervised Data Augmentation for Consistency Training
Unsupervised Data Augmentation for Consistency Training
Qizhe Xie
Zihang Dai
Eduard H. Hovy
Minh-Thang Luong
Quoc V. Le
86
2,306
0
29 Apr 2019
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and
  Model Analysis
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis
Jeonghun Baek
Geewook Kim
Junyeop Lee
Sungrae Park
Dongyoon Han
Sangdoo Yun
Seong Joon Oh
Hwalsuk Lee
391
477
0
03 Apr 2019
Show, Attend and Read: A Simple and Strong Baseline for Irregular Text
  Recognition
Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition
Hui Li
Peng Wang
Chunhua Shen
Guyu Zhang
43
376
0
02 Nov 2018
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting
  Text with Arbitrary Shapes
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes
Pengyuan Lyu
Minghui Liao
Cong Yao
Wenhao Wu
X. Bai
56
596
0
06 Jul 2018
Temporal Ensembling for Semi-Supervised Learning
Temporal Ensembling for Semi-Supervised Learning
S. Laine
Timo Aila
UQCV
147
2,543
0
07 Oct 2016
Reading Text in the Wild with Convolutional Neural Networks
Reading Text in the Wild with Convolutional Neural Networks
Max Jaderberg
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
69
1,161
0
04 Dec 2014
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