Uncertainty-Aware SegFormer for Satellite Image Segmentation Using Evidential Deep Learning
Vision Transformers and other deep learning models are highly accurate in segmenting satellite images, but they tend to behave as overconfident black boxes and pose a safety risk for critical remote sensing applications. We present an Uncertainty-Aware SegFormer that combines Evidential Deep Learning (EDL) with a singl...