Next-Gen Vehicle Attribute Classification: A Multi-head Deep Learning Approach-Reference-Cited by-同舟云学术

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Next-Gen Vehicle Attribute Classification: A Multi-head Deep Learning Approach

Published:2024-04-13 Issue: Volume: Page:1-8
ISSN:
Container-title:2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI)
language:
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Author:

Bekbolat Amanali¹,Tanveer M. Hassan²,Kashkynbayev Ardak³,Ali Md. Hazrat¹

Affiliation:

1. Nazarbayev University,SEDS,Department of Mechanical and Aerospace Engineering,Astana,Kazakhstan,01000

2. Kennesaw State University,Department of Robotics and Mechatronics Engineering,Marietta,GA,USA,30060

3. Nazarbayev University,SSH,Department of Mathematics,Astana,Kazakhstan,01000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10585267/10585616/10585682.pdf?arnumber=10585682

Reference22 articles.

1. An improved deep learning architecture for multi-object tracking systems

2. Multi-attribute Vehicle Recognition with Feature Fusion Using Muti-Gate Unit;Elissa, “Title of paper if known,” unpublished,2023

3. Review of Vehicle Type Recognition Methods

4. A vehicle classification method based on deep learning and data augmentation

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