When Simplicity Wins: Bottleneck-Aware Context Modeling for Lightweight Semantic Segmentation

Semantic segmentation demands a careful balance between accuracy, efficiency, and scalability, which remains difficult to achieve for high-resolution imagery. Convolutional networks effectively model local patterns but struggle with long-range dependencies, whereas Vision Transformers capture global...