AI RESEARCH
SARES-DEIM: Sparse Mixture-of-Experts Meets DETR for Robust SAR Ship Detection
arXiv CS.CV
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ArXi:2604.04127v1 Announce Type: new Ship detection in Synthetic Aperture Radar (SAR) imagery is fundamentally challenged by inherent coherent speckle noise, complex coastal clutter, and the prevalence of small-scale targets. Conventional detectors, primarily designed for optical imagery, often exhibit limited robustness against SAR-specific degradation and suffer from the loss of fine-grained ship signatures during spatial downsampling. To address these limitations, we propose SARES-DEIM, a domain-aware detection framework grounded in the DEtection TRansformer (DETR) paradigm.