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References

1 
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2 
Cao Z. , Liao T. , Song W. , Chen Z. , Li C. , 2021, Detecting the shuttlecock for a badminton robot: A YOLO based approach, Expert Systems with Applications, Vol. 164, pp. 113833DOI
3 
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Zhang J. , Han D. , Han S. , Li H. , Lam W.-K. , Zhang M. , 2024, ChatMatch: Exploring the potential of hybrid vision-language deep learning approach for the intelligent analysis and inference of racket sports, Computer Speech & Language, Vol. 89, pp. 101694DOI
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11 
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12 
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13 
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14 
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15 
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16 
Wang X. , Wang X. , Li C. , Zhao Y. , Ren P. , 2022, Data-attention-YOLO (DAY): A comprehensive framework for mesoscale eddy identification, Pattern Recognition, Vol. 131, pp. 108870DOI
17 
Xu X. , Chen X. , Wu B. , Wang Z. , Zhen J. , 2022, Exploiting high-fidelity kinematic information from port surveillance videos via a YOLO-based framework, Ocean & Coastal Management, Vol. 222, pp. 106117DOI
18 
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19 
Yuan Y. , Wu Y. , Zhao L. , Chen H. , Zhang Y. , 2024, Multiple object detection and tracking from drone videos based on GM-YOLO and multi-tracker, Image and Vision Computing, Vol. 143, pp. 104951DOI
20 
Zheng Z. , Li J. , Qin L. , 2023, YOLO-BYTE: An efficient multi-object tracking algorithm for automatic monitoring of dairy cows, Computers and Electronics in Agriculture, Vol. 209, pp. 107857DOI
21 
Zi N. , Li X.-M. , Gade M. , Fu H. , Min S. , 2024, Ocean eddy detection based on YOLO deep learning algorithm by synthetic aperture radar data, Remote Sensing of Environment, Vol. 307, pp. 114139DOI
22 
Qi J. , Li D. , Zhang C. , Wang Y. , 2022, Alpine skiing tracking method based on deep learning and correlation filter, IEEE Access, Vol. 10, pp. 39248-39260DOI
23 
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24 
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25 
Wan D. , Lu R. , Hu B. , Yin J. , Shen S. , Xu T. , Lang X. , 2024, YOLO-MIF: Improved YOLOv8 with multi-information fusion for object detection in gray-scale images, Advanced Engineering Informatics, Vol. 62, pp. 102709DOI