AI RESEARCH
FSDETR: Frequency-Spatial Feature Enhancement for Small Object Detection
arXiv CS.CV
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ArXi:2604.14884v1 Announce Type: new Small object detection remains a significant challenge due to feature degradation from downsampling, mutual occlusion in dense clusters, and complex background interference. To address these issues, this paper proposes FSDETR, a frequency-spatial feature enhancement framework built upon the RT-DETR baseline. By establishing a collaborative modeling mechanism, the method effectively leverages complementary structural information.