Model Compression Based on YOLOv3 Object Detection Algorithm from the Perspective of UAV

Recently, unmanned aerial vehicles are widely used in surveillance, aerial photography, power grid line inspections and other places. In order to deploy the YOLOv3 [1] algorithm on drones, it is necessary to adopt the YOLOv3 algorithm with fewer parameters and a simpler structure. This paper impleme...

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Veröffentlicht in:	Chinese Control Conference S. 8439 - 8444
Hauptverfasser:	Wu, Bing, Xue, Zhijun, Chen, Wenjie
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	Technical Committee on Control Theory, Chinese Association of Automation 26.07.2021
Schlagworte:	Drones Inspection Model Compress Object detection Photography Power grids RK3399pro Simulation Surveillance YOLOv3
ISSN:	1934-1768
Online-Zugang:	Volltext
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