HaarTransNet: Infrared Small-Target Detection Based on Feature Decoupling and Saliency Modeling (opens in new tab)

Infrared small-target detection (IRSTD) has achieved considerable progress with the adoption of deep learning approaches. However, feature coupling during downsampling and modeling target saliency stands as a long-term challenge for this task. To address the aforementioned challenges, we propose a novel framework, HaarTransNet, that leverages frequency-domain decoupling and target–background relative saliency modeling to achieve high-precision detection. The proposed approach consists of two ...