Physically Feasible Semantic Segmentation: Enforcing Physical Constraints to Improve Prediction Accuracy

Physically Feasible Semantic Segmentation (PhyFea) extracts explicit physical constraints that govern spatial class relations from training datasets and enforces a differentiable loss function to promote prediction feasibility, leading to significant performance improvements over state-of-the-art semantic segmentation networks.