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YOLOv5s_2E: Improved YOLOv5s for Aerial Small Target Detection

To address the issues of low accuracy in existing small object detection algorithms, an improved network model algorithm called YOLOv5s_2E is proposed. This method first uses the k-means++ clustering algorithm to calculate the prior boxes of the Visdrone dataset. Then, it introd...

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Bibliografische gegevens
Hoofdauteurs: Tao Shi, Yao Ding, Wenxu Zhu
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: IEEE 2023-01-01
Reeks:IEEE Access
Onderwerpen:
Online toegang:https://ieeexplore.ieee.org/document/10198270/
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