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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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Principais autores: Zhenguo Zhang, Ruimeng Shi, Zhenyu Xing, Quanfeng Guo, Chao Zeng
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2023-10-01
Serier:Agronomy
Fag:
object detection
safflower filaments
faster R-CNN
ROI Align
ResNest-101
Online adgang:https://www.mdpi.com/2073-4395/13/10/2596
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