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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Bibliografski detalji

Glavni autori:	Tao Shi, Yao Ding, Wenxu Zhu
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2023-01-01
Serija:	IEEE Access
Teme:	Data augmentation DyHead small object detection soft_NMS YOLOv5s
Online pristup:	https://ieeexplore.ieee.org/document/10198270/
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