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MAFNet-DETR: Multi-Branch Adaptive Fusion Network for Small Object Detection in UAV Aerial Images

Small object detection in high-altitude unmanned aerial vehicle (UAV) imagery presents formidable challenges, including severely constrained target scale and intricate background interference. To address these issues, this paper proposes MAFNet-DETR, a novel detection framework built upon RT-DETR-R1...

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Bibliografske podrobnosti
Principais autores: Fang Guo, Hengyi Xin, Zhili Chen, Luyi Hou, Pengqiao Chen, Lin Wang, Junyi Ye, Dewang Chen
Format: Artigo
Jezik:Inglês
Izdano: IEEE 2026-01-01
Serija:IEEE Access
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Online dostop:https://ieeexplore.ieee.org/document/11480822/
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