A Classification Model for Fine-Grained Silkworm Cocoon Images Based on Bilinear Pooling and Adaptive Feature Fusion

The quality of silkworm cocoons affects the quality and cost of silk processing. It is necessary to sort silkworm cocoons prior to silk production. Cocoon images consist of fine-grained images with large intra-class differences and small inter-class differences. The subtle intra-class features pose...

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Detalhes bibliográficos

Principais autores:	Mochen Liu, Xin Hou, Mingrui Shang, Eunice Oluwabunmi Owoola, Guizheng Zhang, Wei Wei, Zhanhua Song, Yinfa Yan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-12-01
coleção:	Agriculture
Assuntos:	silkworm cocoon bilinear pooling fine-grained image classification adaptive spatial feature fusion feature enhancement
Acesso em linha:	https://www.mdpi.com/2077-0472/14/12/2363
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