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Aug 2026

RDANet: Relative Degradation Aware Network for Infrared Small Target Detection

Infrared small target detection is still challenging in remote sensing imagery, because the targets are extremely small, exhibit weak local contrast, and are often embedded in complex and highly variable backgrounds. In addition to these inherent difficulties, we observe that existing detectors often show unstable perf...

Rui Liu, Jing Nie, Ying Fu · 0 citations
2026

FIDNet: Frequency-Informed Diffusion Network for Low-Field MRI Enhancement

Low-field magnetic resonance imaging (MRI) systems are highly practical in resource-constrained scenarios due to their low cost and portability, which is regarded as an important alternative to conventional high-field MRI. However, they suffer from significant challenges caused by low signal intensity, resulting in the...

Tao Zhou, Qi Liu, Ziru Li et al. · 0 citations

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