GPCNet: Grid-Parallel Compact Network With Kernel-Adaptive Feature Fusion for Semantic Segmentation of High-Resolution UAV Imagery
In recent years, encoder–decoder architectures have driven remarkable progress in remote sensing semantic segmentation. However, achieving both high accuracy and computational efficiency for high-resolution UAV imagery remains challenging. For Vision Transformer (ViT)-based models, the quadratic computational and memor...