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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.
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