YOLOv5s FMG: An Improved Small Target Detection Algorithm Based on YOLOv5 in Low Visibility

YOLOv5s FMG: An Improved Small Target Detection Algorithm Based on YOLOv5 in Low Visibility

Accurate and real-time detection of small targets of pedestrians and cars in video images is indeed crucial for various applications such as autonomous driving and urban management. Existing detection algorithms face challenges related to small targets and low visibility, resulting in issues such as...

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Bibliografiska uppgifter
Huvudupphovsmän: Yunchang Zheng, Yunyue Zhan, Xiaoying Huang, Gaoqing Ji
Materialtyp: Artikel
Språk:English
Publicerad: IEEE 2023-01-01
Serie:IEEE Access
Ämnen:
Small target detection
YOLOv5
SAHI
MCA
ghost bottleneck
low visibility
Länkar:https://ieeexplore.ieee.org/document/10189370/

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https://ieeexplore.ieee.org/document/10189370/

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