Research on Recognition of Fly Species Based on Improved RetinaNet and CBAM

Research on Recognition of Fly Species Based on Improved RetinaNet and CBAM

Flies carry pathogens that endanger the health of humans and animals. The color and shape of the fly species are very similar, which is difficult to recognize. This paper proposes a fly species recognition method based on improved RetinaNet and convolutional block attention module (CBAM). Firstly, t...

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Bibliographic Details
Main Authors: Yantong Chen, Xianzhong Zhang, Weinan Chen, Yuyang Li, Junsheng Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Fly species recognition
RetinaNet algorithm
attention convolution module
convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/9099571/

Internet

https://ieeexplore.ieee.org/document/9099571/

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