An improved multi-label classification algorithm based on YOLOV5s-Reference-Cited by-同舟云学术

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An improved multi-label classification algorithm based on YOLOV5s

Published:2023-02-24 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Neural Networks, Information and Communication Engineering (NNICE)
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Author:

Shen Chen¹,Yi Mingfa¹,Fu Maosheng¹

Affiliation:

1. School of Electrical Process, Anhui Institute of Technology,Wuhu,Anhui,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10105556/10105661/10105674.pdf?arnumber=10105674

Reference16 articles.

1. Research on Pedestrian Vehicle Detection and Recognition Algorithm Based on Improved YOLOv5;menci;Acta Electronica Sinica,2022

2. Research on fire image detection based on improved YOLOv5 algorithm;wang;Journal of Hubei University (Natural Science Edition),2022

3. Spatial and channel attention multi-level feature network image Semantic segmentation;xuan;Journal of Taiyuan University of Science and Technology,2021

4. Super resolution Reconstruction of channel attention and Residual cascades;cai;Journal of Information Processing Society of Japan,2021

5. Research on traffic sign recognition technology based on YOLOv5 algorithm;lv;Journal of Electronic Measurement and Instrument,2021

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1. Patch-Based Multi-Level Attention Mechanism for Few-Shot Multi-Label Medical Image Classification;2023 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC);2023-11-02

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