Fry Counting Models Based on Attention Mechanism and YOLOv4-Tiny

Fry Counting Models Based on Attention Mechanism and YOLOv4-Tiny

Accurate counting is difficult in the case of large numbers of overlapping and adhering fry. In this study, we propose a lightweight target detection counting method based on deep learning methods that can meet the deployment requirements of edge computing device for automatic fry counting while obt...

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Bibliographic Details
Main Authors: Dachun Feng, Jiefeng Xie, Tonglai Liu, Longqin Xu, Jianjun Guo, Shahbaz Gul Hassan, Shuangyin Liu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Fry counting
deep learning
attention mechanism
lightweight
Online Access:https://ieeexplore.ieee.org/document/9992198/

Internet

https://ieeexplore.ieee.org/document/9992198/

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