PestNet: An End-to-End Deep Learning Approach for Large-Scale Multi-Class Pest Detection and Classification

PestNet: An End-to-End Deep Learning Approach for Large-Scale Multi-Class Pest Detection and Classification

Multi-class pest detection is one of the crucial components in pest management involving localization in addition to classification which is much more difficult than generic object detection because of the apparent differences among pest species. This paper proposes a region-based end-to-end approac...

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Bibliographic Details
Main Authors: Liu Liu, Rujing Wang, Chengjun Xie, Po Yang, Fangyuan Wang, Sud Sudirman, Wancai Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Channel-spatial attention
convolutional neural network
multi-class pest detection
position-sensitive score map
region proposal network
Online Access:https://ieeexplore.ieee.org/document/8682057/

Internet

https://ieeexplore.ieee.org/document/8682057/

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