Zhang, Z.; Shi, R.; Xing, Z.; Guo, Q.; Zeng, C.
Improved Faster Region-Based Convolutional Neural Networks (R-CNN) Model Based on Split Attention for the Detection of Safflower Filaments in Natural Environments. Agronomy 2023, 13, 2596.
https://doi.org/10.3390/agronomy13102596
AMA Style
Zhang Z, Shi R, Xing Z, Guo Q, Zeng C.
Improved Faster Region-Based Convolutional Neural Networks (R-CNN) Model Based on Split Attention for the Detection of Safflower Filaments in Natural Environments. Agronomy. 2023; 13(10):2596.
https://doi.org/10.3390/agronomy13102596
Chicago/Turabian Style
Zhang, Zhenguo, Ruimeng Shi, Zhenyu Xing, Quanfeng Guo, and Chao Zeng.
2023. "Improved Faster Region-Based Convolutional Neural Networks (R-CNN) Model Based on Split Attention for the Detection of Safflower Filaments in Natural Environments" Agronomy 13, no. 10: 2596.
https://doi.org/10.3390/agronomy13102596
APA Style
Zhang, Z., Shi, R., Xing, Z., Guo, Q., & Zeng, C.
(2023). Improved Faster Region-Based Convolutional Neural Networks (R-CNN) Model Based on Split Attention for the Detection of Safflower Filaments in Natural Environments. Agronomy, 13(10), 2596.
https://doi.org/10.3390/agronomy13102596
