A Static Letter Sign Language Recognition Algorithm Based on Improved YOLOv5-Reference-Cited by-同舟云学术

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A Static Letter Sign Language Recognition Algorithm Based on Improved YOLOv5

Published:2023-07-14 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 13th International Conference on Electronics Information and Emergency Communication (ICEIEC)
language:
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Author:

Xia Xin¹,Chen Dong²,Li Tan³,Liu ZeMin⁴

Affiliation:

1. JianXi Vocational Technical College of Industry&Trade,NanChang,China

2. School of Mathematics and Computer Sciences, Nanchang University,NanChang,China

3. School of Information Ingineering, Nanchang University,NanChang,China

4. Yingtan Internet of Things Research Center Co. Ltd,Yingtan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10199110/10199203/10200583.pdf?arnumber=10200583

Reference15 articles.

1. Learning spatial fusion for single-shot object detection[J];liu;ArXiv Preprint,2019

2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift[J];ioffe;JMLR org,2015

3. Simam: A simple, parameter-free attention module for convolutional neural networks[C];yang;Int Conference on Machine Learning,2021

4. Attention mechanisms in computer vision: A survey

5. Optimal speed and accuracy of object detection[J];bochkovskiy;ArXiv Preprint,2004

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1. Explainable federated learning for privacy-preserving bangla sign language detection;Engineering Applications of Artificial Intelligence;2024-08

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