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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Bibliographic Details

Published in:	Agriculture
Main Authors:	Mochen Liu, Xin Hou, Mingrui Shang, Eunice Oluwabunmi Owoola, Guizheng Zhang, Wei Wei, Zhanhua Song, Yinfa Yan
Format:	Article
Language:	English
Published:	MDPI AG 2024-12-01
Subjects:	silkworm cocoon bilinear pooling fine-grained image classification adaptive spatial feature fusion feature enhancement
Online Access:	https://www.mdpi.com/2077-0472/14/12/2363