A lightweight hybrid network with inverted residuals and state space model for remote sensing image segmentation
In current research on semantic segmentation, the majority of studies primarily focus on utilizing traditional CNNs and Transformer-based architectures. However, CNNs are limited in capturing long-range dependencies and accurately modeling global context information because their receptive fields are confined to loca...