Intelligent Detection of Mango Disease Spores Based on Mask Scoring R-CNN
Author:
Affiliation:
1. Hainan University,School of Information and Communication Engineering,Haikou,China
2. Hainan University,School of Computer Science and Cyberspace Security,Haikou,China
Funder
National Natural Science Foundation of China
State Key Laboratory of Marine Resource Utilization in South China Sea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9731095/9730887/09731325.pdf?arnumber=9731325
Reference25 articles.
1. Going deeper with convolutions. Computer Vision and Pattern Recognition (CVPR);szegedy;2015 IEEE conference,2015
2. Very deep convolutional networks for large-scale image recognition;simonyan,2014
3. Deep Residual Learning for Image Recognition
4. Localization and Classification of Paddy Field Pests using a Saliency Map and Deep Convolutional Neural Network
5. Plant Leaf Disease Detection and Classification Based on CNN with LVQ Algorithm
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