Faster R-CNN Implementation Method for Multi-Fruit Detection Using Tensorflow Platform-Reference-Cited by-同舟云学术

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Faster R-CNN Implementation Method for Multi-Fruit Detection Using Tensorflow Platform

Published:2018-10 Issue: Volume: Page:
ISSN:
Container-title:2018 International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC)
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Author:

Basri Hasan,Syarif Iwan,Sukaridhoto Sritrustra

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8615985/8628466/08628566.pdf?arnumber=8628566

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. YOLO-Peach: A High-Performance Lightweight YOLOv8s-Based Model for Accurate Recognition and Enumeration of Peach Seedling Fruits;Agronomy;2024-07-25

2. Object Color Identification and Classification using CNN Algorithm and Machine Learning Technique;2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN);2024-05-03

3. IoT Network Security with PCA and Deep Learning for Unmasking Anomalies;2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT);2024-04-06

4. Fruit Disease Classification and Localization Using Region Based Regression;Proceedings of the Bulgarian Academy of Sciences;2024-02-29

5. Bangladeshi Local Fruits Detection and Calorie Calculator using CNN;2024 11th International Conference on Computing for Sustainable Global Development (INDIACom);2024-02-28

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