Leveraging on few-shot learning for tire pattern classification in forensics

This paper presents a novel approach for tire-pattern classification, aimed at conducting forensic analysis on tire marks discovered at crime scenes. The classification model proposed in this study accounts for the intricate and dynamic nature of tire prints found in real-world scenarios, including...

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Autores principales:	Lijun Jiang, Syed Ariff Syed Hesham, Keng Pang Lim, Changyun Wen
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	KeAi Communications Co., Ltd. 2023-08-01
Colección:	Journal of Automation and Intelligence
Materias:	Meta-learning Few-shot classification Semantic segmentation
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S2949855423000333
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