A lightweight detection method for infrared ship targets based on improved YOLOX

Jie Jiang; Qin Ling; Wenjun Yan; Kai Liu

doi:10.1117/12.3052385

30 December 2024 A lightweight detection method for infrared ship targets based on improved YOLOX

Jie Jiang, Qin Ling, Wenjun Yan, Kai Liu

Author Affiliations +

Proceedings Volume 13394, International Workshop on Automation, Control, and Communication Engineering (IWACCE 2024); 133940V (2024) https://doi.org/10.1117/12.3052385
Event: International Workshop on Automation, Control, and Communication Engineering (IWACCE 2024), 2024, Hohhot, China

Abstract

Aiming at the problem of low detection accuracy and poor real-time performance in infrared ship target detection, a lightweight detection method based on improved YOLOX is proposed, which can effectively improve detection real-time performance while ensuring detection accuracy. The algorithm first adopts an anchor free box design, then improves the backbone and neck of the network, introduces task alignment learning methods, assigns labels, and finally strengthens the detection head in a targeted manner. Through experimental verification, the mAP of this method can reach 50.1%, and the FPS can reach 78.3%, with better accuracy and real-time performance than other similar algorithms.

Citation Download Citation

Jie Jiang, Qin Ling, Wenjun Yan, and Kai Liu "A lightweight detection method for infrared ship targets based on improved YOLOX", Proc. SPIE 13394, International Workshop on Automation, Control, and Communication Engineering (IWACCE 2024), 133940V (30 December 2024); https://doi.org/10.1117/12.3052385

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