Comparative Analysis of Loss Functions for Semantic Segmentation: An Empirical Study on Cityscapes Dataset
The findings conclusively demonstrate that optimized combined loss function weighting achieves better segmentation performance than both individual approaches and naive equal weighting strategies, with consistent improvements across different network architectures.