首页|Corrigendum to “An advanced YOLOv3 method for small-scale road object detection” [Appl. Soft Comput. 112 (2021) 107846] (Applied Soft Computing Journal (2021) 112, (S1568494621007687), (10.1016/j.asoc.2021.107846))

Corrigendum to “An advanced YOLOv3 method for small-scale road object detection” [Appl. Soft Comput. 112 (2021) 107846] (Applied Soft Computing Journal (2021) 112, (S1568494621007687), (10.1016/j.asoc.2021.107846))

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The authors regret ‘The common fund support in Acknowledgments should be the National Natural Science Foundation of China, China under grant No. U1733119, Tianjin Postgraduate Research and Innovation Project Funding, China under grant 2020YJS017, and the Scientific Research Project of Tianjin Education Commission, China under Grant 2020KJ013’. The authors would like to apologise for any inconvenience caused. We are very sorry for missing an important fund support that should have been together and apologize for the inconvenience caused.

Wang K.、Liu M.、Ye Z.

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College of Electronic Information and Automation Civil Aviation University of China

2022

Applied Soft Computing

Applied Soft Computing

EISCI
ISSN:1568-4946
年,卷(期):2022.118
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