FoveaMask: A fast and accurate deep learning model for green fruit instance segmentation-Reference-Cited by-同舟云学术

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FoveaMask: A fast and accurate deep learning model for green fruit instance segmentation

Published:2021-12 Issue: Volume:191 Page:106488
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Jia Weikuan,Zhang Zhonghua,Shao Wenjing,Hou Sujuan,Ji Ze,Liu Guoliang,Yin Xiang

Funder

National Natural Science Foundation of China

Taishan Scholar Foundation of Shandong Province

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference38 articles.

1. Robust apple segmentation using fuzzy logic;Ahmad,2018

2. Deep fruit detection in orchards;Bargoti;IEEE International Conference on Robotics and Automation,2017

3. Image segmentation for fruit detection and yield estimation in apple orchards;Bargoti;J. Field Rob.,2017

4. Yolact: Real-time instance segmentation;Bolya,2019

5. Hybrid task cascade for instance segmentation;Chen,2019

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