Fry Counting Method in High-Density Culture Based on Image Enhancement Algorithm and Attention Mechanism
Author:
Affiliation:
1. College of Information Engineering, Dalian Ocean University, Dalian, China
2. Ningbo Institute, Dalian University of Technology, Ningbo, China
3. Hangzhou Yunxi Smart Vision Technology Company Ltd., Dalian, China
Funder
Basic Scientific Research Project for Higher Education Institutions of the Education Department of Liaoning Province
Dalian Program on Key Science and Technology Research and Development Project
Key Laboratory of Environment Controlled Aquaculture (Dalian Ocean University) Ministry of Education Project
Agricultural Science and Technology Key Research and Development Program of Taizhou
Key Research and Development Program of Zhejiang Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10433475.pdf?arnumber=10433475
Reference41 articles.
1. Computer vision and robotics techniques in fish farms
2. Shrimp egg counting with fully convolutional regression network and generative adversarial network
3. Using a convolutional neural network for fingerling counting: A multi-task learning approach
4. Computer vision in aquaculture: a case study of juvenile fish counting
5. The use of computer vision technologies in aquaculture – A review
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Automatic Shrimp Fry Counting Method Using Multi-Scale Attention Fusion;Sensors;2024-05-02
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