Fish Detection and Classification Based on Improved ViT-Reference-Cited by-同舟云学术

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Fish Detection and Classification Based on Improved ViT

Published:2023-12-14 Issue: Volume:1 Page:1-5
ISSN:
Container-title:2023 2nd International Conference on Automation, Robotics and Computer Engineering (ICARCE)
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Author:

Ji Daxiong¹,Hussain Ahmad Faraz²,Hussain Sheharyar²,Ogbonnaya Somadina Godwin²,Zhu Songming³,Wang Xinwei²

Affiliation:

1. Institute of Marine Electronics &Intelligent Systems, Ocean Collage, Zhejiang University; Donghai Lab,Zhoushan,China

2. Institute of Marine Electronics &Intelligent Systems, Ocean Collage, Zhejiang University,Zhoushan,China

3. College of Biosystems Engineering and Food Sciencez, Zhejiang University,Hangzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10492487/10492472/10492544.pdf?arnumber=10492544

Reference21 articles.

1. A critical review on the health benefits of fish consumption and its bioactive constituents

2. Automated Detection, Classification and Counting of Fish in Fish Passages With Deep Learning

3. Scientific Methods to Understand Fish Population Dynamics and Support Sustainable Fisheries Management

4. Application of machine learning in intelligent fish aquaculture: A review

5. Fish species classification by color, texture and multi-class support vector machine using computer vision

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