Marine Fish Object Detection Based on YOLOv5 and Attention Mechanism-Reference-Cited by-同舟云学术

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Marine Fish Object Detection Based on YOLOv5 and Attention Mechanism

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta)
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Author:

Chen Lulu¹,Zang Zhaoxiang¹,Huang Tianxing¹,Li Zhao²

Affiliation:

1. China Three Gorges University,Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering,Yichang,Hubei,China

2. Nanhai Resources Big Data Center Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang),Zhanjiang,Guangdong,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10189429/10189430/10189629.pdf?arnumber=10189629

Reference32 articles.

1. Underwater Fish Detection Using Deep Learning for Water Power Applications

2. SSD Single Shot MultiBox Detector[C];wei;European Conference on Computer Vision,2016

3. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition[J];he;IEEE Transactions on Pattern Analysis and Machine Intelligence,2015

4. MSR-YOLO: Method to Enhance Fish Detection and Tracking in Fish Farms

5. SAR Ship Detection Based on YOLOv5 Using CBAM and BiFPN

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1. Fish Recognition Using MobileNet-V2 and MAR-Based Metaverse for an Educative Marine Life System;Studies in Systems, Decision and Control;2024

2. Artificial Intelligence as a Mechanism for Transparency and Trust in e-Government: Algorithm for the Detection of Peruvian Marine Species in High Seas During Closed Season;Lecture Notes in Computer Science;2024

3. Fish Detection under Occlusion Using Modified You Only Look Once v8 Integrating Real-Time Detection Transformer Features;Applied Sciences;2023-11-24

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