Improved Faster Region-Based Convolutional Neural Networks (R-CNN) Model Based on Split Attention for the Detection of Safflower Filaments in Natural Environments

The accurate acquisition of safflower filament information is the prerequisite for robotic picking operations. To detect safflower filaments accurately in different illumination, branch and leaf occlusion, and weather conditions, an improved Faster R-CNN model for filaments was proposed. Due to the...

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Hlavní autoři:	Zhenguo Zhang, Ruimeng Shi, Zhenyu Xing, Quanfeng Guo, Chao Zeng
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2023-10-01
Edice:	Agronomy
Témata:	object detection safflower filaments faster R-CNN ROI Align ResNest-101
On-line přístup:	https://www.mdpi.com/2073-4395/13/10/2596
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