S2F-YOLO: An Optimized Object Detection Technique for Improving Fish Classification

The current emergence of deep learning has enabled state-of-the-art approaches to achieve a major breakthrough in various fields such as object detection. However, the popular object detection algorithms like YOLOv3, YOLOv4 and YOLOv5 are computationally inefficient and need to consume a lot of comp...

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Veröffentlicht in:	Wangji Wanglu Jishu Xuekan = Journal of Internet Technology 2023-11, Vol.24 (6), p.1211-1220
Hauptverfasser:	Feng Wang, Feng Wang, Feng Wang, Jing Zheng, Jing Zheng, Jiawei Zeng, Jiawei Zeng, Xincong Zhong, Xincong Zhong, Zhao Li
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Fish Machine learning Object recognition
Online-Zugang:	Volltext
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