Arbitrary Shape Text Detection via Boundary Transformer-Reference-Cited by-同舟云学术

Arbitrary Shape Text Detection via Boundary Transformer

Published:2024 Issue: Volume:26 Page:1747-1760
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Zhang Shi-Xue¹^ORCID,Yang Chun¹,Zhu Xiaobin¹^ORCID,Yin Xu-Cheng²^ORCID

Affiliation:

1. School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB), Beijing, China

2. School of Computer and Communication Engineering, and Institute of Artificial Intelligence, University of Science and Technology Beijing (USTB), Beijing, China

Funder

National Key Research and Development Program of China

National Science Fund for Distinguished Young Scholars

National Natural Science Foundation of China

University of Science and Technology Beijing

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6046/10384483/10153666.pdf?arnumber=10153666

Reference63 articles.

1. TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes

2. Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection

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

4. Real-Time Scene Text Detection with Differentiable Binarization

5. Arbitrary Shape Scene Text Detection With Adaptive Text Region Representation

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ESRNet: an exploring sample relationships network for arbitrary-shaped scene text detection;Applied Intelligence;2024-09-09

2. Turning a CLIP Model Into a Scene Text Spotter;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-09

3. FCCText: frequency-color complementary bistream structure for scene text detection;Journal of Electronic Imaging;2024-08-07

4. Synchronizing Object Detection: Applications, Advancements and Existing Challenges;IEEE Access;2024

5. Transforming Scene Text Detection and Recognition: A Multi-Scale End-to-End Approach With Transformer Framework;IEEE Access;2024