Error level driven attention guided ensembles models for accurate leather defect detection

Abstract The leather industry plays a crucial role in the production of high-quality leather products to remain competitive in the market. Due to various reasons such as material handling and turning, leather defects can appear at different stages of the production process. This paper proposed deep...

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Principais autores:	Abu Hanzala, Md Sajjad, Tanjila Akter, Harpreet Kaur, Md. Sadekur Rahman
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Springer 2026-03-01
coleção:	Discover Applied Sciences
Assuntos:	Leather defect detection Squeeze-and-excitation network Label smoothing Convolutional neural network Deep learning Transfer learning
Acesso em linha:	https://doi.org/10.1007/s42452-025-08157-w
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