Uncertainty-Aware Semantic Segmentation via Decision Boundary Modeling and Confusion Zone Refinement
Deep learning has significantly improved the performance of semantic segmentation in high-resolution imagery and computer vision tasks. However, standard segmentation models treat all pixel-wise predictions equally, despite the fact that predictions close to the decision boundary are inherently uncertain. This limitati...