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YOLO-PICO: Lightweight object recognition in remote sensing images using expansion attention modules | Synapse
March 3, 2026
YOLO-PICO: Lightweight object recognition in remote sensing images using expansion attention modules
MA
Mohamad Ebrahim Aghili
HG
Hassan Ghassemian
MI
Maryam Imani
Tarbiat Modares University
Key Points
Object recognition accuracy increased by XX% with the YOLO-PICO model, demonstrating its effectiveness.
Key metrics for performance include faster processing times compared to traditional methods.
Assessment using attention modules showed significant improvements in recognizing objects in complex environments.
Highlighting the potential for real-time applications in remote sensing, further research is needed for broader generalization.
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Aghili et al. (Sat,) studied this question.
synapsesocial.com/papers/69a759fcc6e9836116a1f711
https://doi.org/https://doi.org/10.1016/j.patcog.2026.113114
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