An improved Yolov3 based on dual path network for cherry tomatoes detection
Author:
Affiliation:
1. College of Mechatronic Engineering Guangxi University Nanning China
2. Guangxi Manufacturing System and Advanced Manufacturing Technology Key Laboratory Nanning China
Publisher
Wiley
Subject
General Chemical Engineering,Food Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfpe.13803
Reference33 articles.
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3. Cai Z. &Vasconcelos N.(2018).Cascade R‐CNN: Delving into high quality object detection. Paper presented at the 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.https://doi.org/10.1109/CVPR.2018.00644
4. Chen Y. Li J. Xiao H. Jin X. Yan S. &Feng J.(2017).Dual path networks.
5. Sensors and systems for fruit detection and localization: A review
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