SPANet: Spatial Adaptive Convolution Based Content-Aware Network for Aerial Image Semantic Segmentation
Semantic segmentation of remote sensing images encounters four significant difficulties: 1) complex backgrounds, 2) large-scale differences, custom congratulations banner 3) numerous small objects, and 4) extreme foreground–background imbalance.However, the existing generic semantic segmentation models mainly focus on the modeling context in