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19 March 2026

Correction: Qie et al. Underwater Objective Detection Algorithm Based on YOLOv8-Improved Multimodality Image Fusion Technology. Machines 2025, 13, 982

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School of Electrical and Electronic Engineering, Wuhan Polytechnic University, Wuhan 430024, China
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Author to whom correspondence should be addressed.

References

In the original publication [1], there were mistakes in the reference list. The order of references 8 and 9 was reversed, and the original reference 9 was cited incorrectly. The correct reference list appears below.
The original references are:
8.
Lei, F.; Tang, F.; Li, S. Underwater target detection algorithm based on improved yolov5. J. Mar. Sci. Eng. 2022, 10, 310.
9.
Zhu, X.; Hu, H.; Lin, S.; Dai, J. Deformable convnets v2: More deformable, better results. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Long Beach, CA, USA, 15–20 June 2019; pp. 9308–9316.
The updated references are:
8.
Zhang, J.; Chen, H.; Yan, X.; Zhou, K.; Zhang, J.; Zhang, Y.; Jiang, H.; Shao, B. An improved yolov5 underwater detector based on an attention mechanism and multi-branch reparameterization module. Electronics 2023, 12, 2597.
9.
Lei, F.; Tang, F.; Li, S. Underwater target detection algorithm based on improved yolov5. J. Mar. Sci. Eng. 2022, 10, 310.
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Qie, Y.; Fang, C.; Huang, J.; Wu, D.; Jiang, J. Underwater Objective Detection Algorithm Based on YOLOv8-Improved Multimodality Image Fusion Technology. Machines 2025, 13, 982. [Google Scholar] [CrossRef] [Scilit]
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