The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking
About this item
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Author / Creator
Du, Dawei , Yuankai Qi , Yu, Hongyang , Yang, Yifan , Duan, Kaiwen , Li, Guorong , Zhang, Weigang , Huang, Qingming and Tian, Qi
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
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Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
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Scope and Contents
Contents
With the advantage of high mobility, Unmanned Aerial Vehicles (UAVs) are used to fuel numerous important applications in computer vision, delivering more efficiency and convenience than surveillance cameras with fixed camera angle, scale and view. However, very limited UAV datasets are proposed, and they focus only on a specific task such as visual...
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Full title
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking
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Record Identifier
TN_cdi_proquest_journals_2071955649
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2071955649
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E-ISSN
2331-8422
