A Self-Attention Feature Fusion Model for Rice Pest Detection

To address the problem that existing deep learning methods are not sufficiently accurate to detect rice pests with changeable shapes or similar appearances, a self-attention feature fusion model for rice pest detection (SAFFPest) was proposed. The model was based on VarifocalNet. First, a deformable...

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Veröffentlicht in:	IEEE access 2022, Vol.10, p.84063-84077
Hauptverfasser:	Li, Shuaifeng, Wang, Heng, Zhang, Cong, Liu, Jie
Format:	Artikel
Sprache:	eng
Schlagworte:	Biological system modeling computer vision Convolution Convolutional neural networks deep learning Feature extraction Feature maps Formability Machine learning object detection Pest detection Pests SAFFPest model Semantics Shape
Online-Zugang:	Volltext
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