Instant noodle anomaly detection based on few-shot learning and feature alignment

ObjectiveTo achieve efficient detection of fine foreign objects in instant noodle, this paper proposes an instant noodle anomaly detection method based on few-shot learning and feature alignment.MethodsThe method uses a pre-trained residual network as a feature extraction network for efficiently ext...

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Egile Nagusiak:	MA Kailong, YANG Chaoyu
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	The Editorial Office of Food and Machinery 2025-10-01
Saila:	Shipin yu jixie
Gaiak:	instant noodle detection few-shot learning siamese network anomaly detection residual network
Sarrera elektronikoa:	http://ifoodmm.com/spyjx/article/html/202510008?st=article_issue
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