Detection Mature Bud for Daylily Based on Faster R-CNN Integrated With CBAM
Author:
Affiliation:
1. College of Agricultural Engineering, Shanxi Agricultural University, Taigu, China
2. Dryland Farm Machinery Key Technology and Equipment Key Laboratory of Shanxi Province, Taigu, China
Funder
Datong City and Shanxi Agricultural University Municipal Cooperative Scientific Research Project
Sub-Project of the National Key Research and Development Program of China
Earmarked Fund for Modern Agro-Industry Technology Research System
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10196432.pdf?arnumber=10196432
Reference36 articles.
1. Focal Loss for Dense Object Detection
2. Crack detection of asphalt pavement based on improved Faster-RCNN;xu;Comput Syst Appl,2022
3. SSD: Single shot MultiBox detector;liu;arXiv 1512 02325,2015
4. CBAM: Convolutional Block Attention Module
5. Objects as points;zhou;arXiv 1904 07850,2019
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