Small Object Detection in Traffic Scenes Based on YOLO-MXANet

In terms of small objects in traffic scenes, general object detection algorithms have low detection accuracy, high model complexity, and slow detection speed. To solve the above problems, an improved algorithm (named YOLO-MXANet) is proposed in this paper. Complete-Intersection over Union (CIoU) is...

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Auteurs principaux: Xiaowei He, Rao Cheng, Zhonglong Zheng, Zeji Wang
Format: article
Langue:EN
Publié: MDPI AG 2021
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Accès en ligne:https://doaj.org/article/b942a46497854050b3258785541471a8
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