深度的背景卷积生成对抗网络与角关键点提取特征的坚果分类

M Shyamala Devi1,2, M Jaiganesh3, S Priya4

  • 1National Satellite Information Research Institute, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu, 41566, Korea.

Scientific reports
|January 26, 2026
PubMed
概括

这项研究引入了用于自动化坚果分类的深心脉背景卷积生成对抗网络 (DAC-GAN),达到99.83%的准确性. 该模型有效地使用由深度卷积生成对抗网络 (DCGANs) 生成的合成数据来克服坚果识别中的数据限制.

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