Industrial Scene Text Detection With Refined Feature-Attentive Network-Reference-Cited by-同舟云学术

Industrial Scene Text Detection With Refined Feature-Attentive Network

Published:2022-09 Issue:9 Volume:32 Page:6073-6085
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Guan Tongkun¹^ORCID,Gu Chaochen¹^ORCID,Lu Changsheng²^ORCID,Tu Jingzheng¹^ORCID,Feng Qi¹^ORCID,Wu Kaijie¹^ORCID,Guan Xinping¹^ORCID

Affiliation:

1. Department of Automation, the Key Laboratory of System Control and Information Processing, Ministry of Education of China, and the Shanghai Engineering Research Center of Intelligent Control and Management, Shanghai Jiao Tong University, Shanghai, China

2. College of Engineering and Computer Science, Australian National University, Canberra, ACT, Australia

Funder

National Key Research and Development Project of China

Chinese Ministry of Education Research Found on Intelligent Manufacturing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/9875133/09726175.pdf?arnumber=9726175

Reference75 articles.

1. UnrealText: Synthesizing realistic scene text images from the unreal world;long;arXiv 2003 10608,2020

2. Convolutional Character Networks

3. Toward Arbitrary-Shaped Text Spotting Based on End-to-End

4. Scene text detection with fully convolutional neural networks

5. Instance Segmentation Network With Self-Distillation for Scene Text Detection

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