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Abstract Infrared target detection is challenging because of strong background noise, weak foreground–background intensity contrast, blurred boundaries, and limited target pixels. Motivated by the challenges observed in infrared inspection scenarios, this paper proposes YOLOv11-IR-TSD, an infrared-adaptive detector for improving feature representation and localization accuracy.
1. Introduction The inductor, as a critical passive component extensively utilized in power electronics systems [1,2], plays a pivotal role in filtering applications to meet power quality standards, minimizing losses and current spikes, and safeguarding device insulation [3]. The rapid advancement in power electronics, driven by demands for device miniaturization and reduced weight, has led to the increased switching of frequencies [4].
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