CNN-Based Classification for Highly Similar Vehicle Model Using Multi-Task Learning

CNN-Based Classification for Highly Similar Vehicle Model Using Multi-Task Learning

Vehicle make and model classification is crucial to the operation of an intelligent transportation system (ITS). Fine-grained vehicle information such as make and model can help officers uncover cases of traffic violations when license plate information cannot be obtained. Various techniques have be...

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Bibliographic Details
Main Authors: Avianto, Donny, Harjoko, Agus, Afiahayati, Afiahayati
Format: Article PeerReviewed
Language:English
Published: MDPI 2022
Subjects:
Information and Computing Sciences
Mathematics and Applied Sciences
Online Access:https://repository.ugm.ac.id/283374/1/CNNBased-Classification-for-Highly-Similar-Vehicle-Model-Using-MultiTask-LearningJournal-of-Imaging.pdf
https://repository.ugm.ac.id/283374/
https://www.mdpi.com/2313-433X/8/11/293
https://doi.org/10.3390/jimaging8110293
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Institution: Universitas Gadjah Mada
Language: English

Internet

https://repository.ugm.ac.id/283374/1/CNNBased-Classification-for-Highly-Similar-Vehicle-Model-Using-MultiTask-LearningJournal-of-Imaging.pdf
https://repository.ugm.ac.id/283374/
https://www.mdpi.com/2313-433X/8/11/293
https://doi.org/10.3390/jimaging8110293

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