Swin-DeepLabV3: Enhanced Semantic Segmentation Through Global-Local Feature Fusion Using Swin Transformer and Atrous Spatial Pyramid Pooling
Swin-DeepLabV3 is proposed, a hybrid semantic segmentation framework that integrates global and local feature modeling by combining a hierarchical Swin Transformer encoder with an Atrous Spatial Pyramid Pooling-based context module, demonstrating an effective balance between contextual representation and spatial precis...