A 1D-inception-ResNet based global detection model for thin-skinned multifruit spectral quantitative analysis

Yu, Yan; Huang, Jipeng; Wang, Lianming; Liang, Shili

doi:10.1016/j.foodcont.2024.110823

Food Control

2025

DOI: 10.1016/j.foodcont.2024.110823

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A 1D-inception-ResNet based global detection model for thin-skinned multifruit spectral quantitative analysis

Yan Yu,

Jipeng Huang,

Lianming Wang

et al.

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A 1D-inception-ResNet based global detection model for thin-skinned multifruit spectral quantitative analysis

Cited by 4 publications

References 40 publications

OVANet: Dual Attention Mechanism Based New Deep Learning Framework for Diagnosis and Classification of Ovarian Cancer Subtypes From Histopathological Images

OVANet: Dual Attention Mechanism Based New Deep Learning Framework for Diagnosis and Classification of Ovarian Cancer Subtypes From Histopathological Images

A Novel Lightweight CNN for Constrained IoT Devices: Achieving High Accuracy With Parameter Efficiency on the MSTAR Dataset

Hyperspectral In-Situ Monitoring for Deep Learning-Based Anomaly Classification in Metal Additive Manufacturing

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