Adaptive Reconstruction and Deformable Attention for UAV Small-Object Detection
Detecting tiny objects in UAV imagery poses persistent challenges due to severe information loss during backbone downsampling, irregular target geometry, and the failure of global inference to resolve densely clustered micro-objects. We propose a three-component detection framework where each module addresses a specifi...