RDANet: Relative Degradation Aware Network for Infrared Small Target Detection
RDANet addresses unstable performance in infrared small target detection caused by changes in target size or background complexity. It proposes a network with two modules, MSAD for anti-aliasing downsampling and PGSM for prototype-guided skip memory. This approach improves robustness by preserving target structure and maintaining local contrast across varying conditions.