R-YOLOv5: A Lightweight Rotational Object Detection Algorithm for Real-Time Detection of Vehicles in Dense Scenes

A lightweight rotational object detection algorithm, R-YOLOv5, is proposed to address the limitations of traditional object detection algorithms that do not consider the diversity of vehicle scales in drone images and fail to obtain information on rotation angles. The proposed algorithm incorporated...

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Bibliografische gegevens

Hoofdauteurs:	Zhengwei Li, Chengxin Pang, Chenhang Dong, Xinhua Zeng
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	IEEE 2023-01-01
Reeks:	IEEE Access
Onderwerpen:	UAV vehicle lightweight object detection rotating block positioning attention network
Online toegang:	https://ieeexplore.ieee.org/document/10083118/
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