ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2101.01310
  4. Cited By
Research on Fast Text Recognition Method for Financial Ticket Image

Research on Fast Text Recognition Method for Financial Ticket Image

5 January 2021
Han Zhang
Qinghua Zheng
B. Feng
ArXivPDFHTML

Papers citing "Research on Fast Text Recognition Method for Financial Ticket Image"

26 / 26 papers shown
Title
PIoU Loss: Towards Accurate Oriented Object Detection in Complex
  Environments
PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments
Zhiming Chen
Kean Chen
Weiyao Lin
John See
Hui Yu
Yan Ke
Cong Yang
25
223
0
19 Jul 2020
YOLOv4: Optimal Speed and Accuracy of Object Detection
YOLOv4: Optimal Speed and Accuracy of Object Detection
Alexey Bochkovskiy
Chien-Yao Wang
H. Liao
VLM
ObjD
129
12,223
0
23 Apr 2020
ResNeSt: Split-Attention Networks
ResNeSt: Split-Attention Networks
Hang Zhang
Chongruo Wu
Zhongyue Zhang
Yi Zhu
Yanghua Peng
...
Tong He
Jonas W. Mueller
R. Manmatha
Mu Li
Alex Smola
86
1,473
0
19 Apr 2020
ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
Yuliang Liu
Hao Chen
Chunhua Shen
Tong He
Lianwen Jin
Liangwei Wang
69
330
0
24 Feb 2020
Distance-IoU Loss: Faster and Better Learning for Bounding Box
  Regression
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
Zhaohui Zheng
Ping Wang
Wei Liu
Jinze Li
Rongguang Ye
Dongwei Ren
NoLa
98
3,682
0
19 Nov 2019
Generalized Intersection over Union: A Metric and A Loss for Bounding
  Box Regression
Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
S. Hamid Rezatofighi
Deyuan Li
JunYoung Gwak
Amir Sadeghian
Ian Reid
Silvio Savarese
145
4,143
0
25 Feb 2019
M2Det: A Single-Shot Object Detector based on Multi-Level Feature
  Pyramid Network
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
Qijie Zhao
Tao Sheng
Yongtao Wang
Zhi Tang
Ying-Cong Chen
Lingyi Cai
Haibin Ling
ObjD
52
795
0
12 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
66
598
0
06 Jul 2018
YOLOv3: An Incremental Improvement
YOLOv3: An Incremental Improvement
Joseph Redmon
Ali Farhadi
ObjD
105
21,386
0
08 Apr 2018
Multi-Oriented Scene Text Detection via Corner Localization and Region
  Segmentation
Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation
Pengyuan Lyu
Cong Yao
Wenhao Wu
Shuicheng Yan
X. Bai
56
320
0
25 Feb 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
628
130,942
0
12 Jun 2017
EAST: An Efficient and Accurate Scene Text Detector
EAST: An Efficient and Accurate Scene Text Detector
Xinyu Zhou
Cong Yao
He Wen
Yuzhi Wang
Shuchang Zhou
Weiran He
Jiajun Liang
85
1,494
0
11 Apr 2017
Arbitrary-Oriented Scene Text Detection via Rotation Proposals
Arbitrary-Oriented Scene Text Detection via Rotation Proposals
Jianqi Ma
Weiyuan Shao
Hao Ye
Li Wang
Hong Wang
Yingbin Zheng
Xiangyang Xue
205
1,184
0
03 Mar 2017
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLM
ObjD
177
15,602
0
25 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
481
10,305
0
16 Nov 2016
Detecting Text in Natural Image with Connectionist Text Proposal Network
Detecting Text in Natural Image with Connectionist Text Proposal Network
Zhi Tian
Weilin Huang
Tong He
Pan He
Yu Qiao
59
941
0
12 Sep 2016
DeepText: A Unified Framework for Text Proposal Generation and Text
  Detection in Natural Images
DeepText: A Unified Framework for Text Proposal Generation and Text Detection in Natural Images
Zhuoyao Zhong
Lianwen Jin
Shuye Zhang
Ziyong Feng
ObjD
37
115
0
24 May 2016
Robust Scene Text Recognition with Automatic Rectification
Robust Scene Text Recognition with Automatic Rectification
Baoguang Shi
Xinggang Wang
Pengyuan Lyu
Cong Yao
X. Bai
3DV
68
585
0
12 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.9K
193,426
0
10 Dec 2015
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjD
BDL
194
29,742
0
08 Dec 2015
An End-to-End Trainable Neural Network for Image-based Sequence
  Recognition and Its Application to Scene Text Recognition
An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition
Baoguang Shi
X. Bai
Cong Yao
VLM
185
2,484
0
21 Jul 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
643
36,801
0
08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
465
62,122
0
04 Jun 2015
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence
  Modeling
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
476
12,692
0
11 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
401
43,589
0
17 Sep 2014
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
374
20,528
0
10 Sep 2014
1