Braille Detection Model Based on Foreground Attention and Semantic Learning-Reference-Cited by-同舟云学术

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Braille Detection Model Based on Foreground Attention and Semantic Learning

Published:2023-07-14 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 5th International Conference on Power, Intelligent Computing and Systems (ICPICS)
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Author:

Wang Guangwu¹,Gu Yu²,Wang Wei³,Yu Zhi²,Song Shuyi⁴

Affiliation:

1. China Braille Library,Beijing,China

2. School of Software Technology, Zhejiang University,Hangzhou,China

3. College of Computer Science, Zhejiang University,Zhejiang Provincial Key Laboratory of Service Robot,Hangzhou,China

4. DBAPP Security Ltd, College of Computer Science, Zhejiang University,Hangzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10235327/10235331/10235710.pdf?arnumber=10235710

Reference12 articles.

1. Focal Loss for Dense Object Detection

2. Optical Braille Recognition Using Object Detection Neural Network

3. Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression

4. CBAM: Convolutional Block Attention Module

5. Effective Optical Braille Recognition Based on Two-Stage Learning for Double-Sided Braille Image

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