SPTS v2: Single-Point Scene Text Spotting-Reference-Cited by-同舟云学术

SPTS v2: Single-Point Scene Text Spotting

Published:2023-12 Issue:12 Volume:45 Page:15665-15679
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Liu Yuliang¹^ORCID,Zhang Jiaxin²^ORCID,Peng Dezhi³^ORCID,Huang Mingxin³^ORCID,Wang Xinyu⁴^ORCID,Tang Jingqun²^ORCID,Huang Can²^ORCID,Lin Dahua⁵^ORCID,Shen Chunhua⁴^ORCID,Bai Xiang¹^ORCID,Jin Lianwen³^ORCID

Affiliation:

1. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China

2. Bytedance, Shanghai, China

3. South China University of Technology, Guangzhou, Guangdong, China

4. Zhejiang University, Hangzhou, Zhejiang, China

5. The Chinese University of Hong Kong, Hong Kong

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Zhuhai Industry Core and Key Technology Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/10308548/10239535.pdf?arnumber=10239535

Reference80 articles.

1. TextSnake: A flexible representation for detecting text of arbitrary shapes;long;Proc Eur Conf Comput Vis,2018

2. TextNet: Irregular text reading from images with an end-to-end trainable network;sun;Proc Asian Conf Comput Vis,2018

3. Fourier Contour Embedding for Arbitrary-Shaped Text Detection

4. Efficient and Accurate Arbitrary-Shaped Text Detection With Pixel Aggregation Network

5. WeText: Scene Text Detection under Weak Supervision

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