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一种多层特征融合方法,用于少数镜头图像分类

Jacó C Gomes1, Lurdineide de A B Borges2, Díbio L Borges3

  • 1Department of Mechanical Engineering, University of Brasília, Brasília 70910-900, DF, Brazil.

Sensors (Basel, Switzerland)
|August 12, 2023
PubMed
概括

这项研究引入了一种新的多层特征融合 (FMLF) 方法,以增强少数镜头图像分类模型. FMLF方法提高了准确性,并减少了识别有限数据的视觉类别的参数.

关键词:
几次射击的学习学习玉米作物昆虫分类 玉米作物昆虫分类计量学学习学习的方法多层的特征是融合的多层特征.多个尺度的特征是多个尺度的特征.

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