Rou Su

AsyScale-Net: Fine-Grained Tiny Object Recognition Across Heterogeneous UAV–Satellite Imagery

Fine-grained classification of tiny objects in remote sensing (RS) is severely hindered by extreme ground sampling distance (GSD) variance and strict edge-computing constraints. To tackle these challenges, we propose AsyScale-Net. First, by leveraging comprehensive multifidelity imagery from our custom SkyView dataset,...