LightOcean: A Lightweight And Efficient Network For Real-time UAV Tracking-Reference-Cited by-同舟云学术

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LightOcean: A Lightweight And Efficient Network For Real-time UAV Tracking

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)
language:
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Author:

Chen Haiyang¹,Wang Weiqiang¹,Zhang Xingzhou²,Zhou Wei¹,Shi Weisong³

Affiliation:

1. Yunnan University,Engineering Research Center of Cyberspace,Kunming,China,650091

2. Institute of Computing Technology, Chinese Academy of Sciences,Beijing,China,100190

3. University of Delaware,Department of Computer and Information Sciences,Newark,DE,USA,19716

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10189429/10189430/10189542.pdf?arnumber=10189542

Reference39 articles.

1. Graph Attention Tracking

2. Autonomous UAVs wildlife detection using thermal imaging, predictive navigation and computer vision

3. LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking

4. Non-local Neural Networks

5. High-speed tracking with kernelized correlation filters;joão;IEEE Transactions on Pattern Analysis and Machine Intelligence,2014

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