SAPLNet: State-Aware Prototype Learning for Remote Sensing Segmentation
A cross-stage state refiner is introduced to progressively refine multilevel features by integrating the input features with the outputs of different stages through state-aware gated normalization, and a weighted feature pyramid decoder performs top-down fusion of the refined hierarchical features.