Knowledge-Guided Adversarial Training for Infrared Object Detection via Thermal Radiation Modeling

ArXi:2603.25170v1 Announce Type: cross In complex environments, infrared object detection exhibits broad applicability and stability across diverse scenarios. However, infrared object detection is vulnerable to both common corruptions and adversarial examples, leading to potential security risks. To improve the robustness of infrared object detection, current methods mostly adopt a data-driven ideology, which only superficially drives the network to fit the