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Ling-Feng Lin

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2026

RDAQ: Real-Time DETR Meets Refinement-Driven Adaptive Querying for Dense Aerial Imagery

Due to extreme density variations and scarce visual features, tiny-object detection in low-altitude uncrewed aerial vehicle (UAV) images remains a challenging task. Although DETR-based detectors have shown promising potential, they rely on a fixed number of object queries, which leads to suboptimal performance in dense...

Ling-Feng Lin, Bo-Xiang Xie, Wen Luo et al. · 0 citations
2026

SKYDET: An End-to-End Multiscale Attentive Detection Network From Foundation Models for Small Objects in Remote Sensing Images

Remote sensing object detection remains a highly challenging task due to drastic variations in target scale, dense distributions of small objects, and complex background interference. Although existing detectors have achieved notable progress, they heavily rely on large-scale supervised pretraining and often suffer fro...

Yao-Dong Zhang, Wei Guo, Boxiang Xie et al. · 0 citations

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