BiKD: Bidomain Knowledge Distillation for SAR Object Detection

Synthetic aperture radar (SAR) imagery plays a pivotal role in remote sensing due to its all-weather and all-time imaging capabilities. Despite its advantages, deploying SAR object detection models on resource-limited platforms remains challenging. Existing knowledge distillation methods, primarily designed for natural images, fail to address the unique characteristics of SAR imagery, such as pronounced background clutter and pervasive speckle noise. To address these limitations, this paper prop