Explainable and Interpretable Vision Models for Trust and Accountability in Real-World Image Processing Systems
As computer vision systems are increasingly used in safety-critical and real-world settings, explainability is essential for trust, accountability, and responsible deployment. This chapter explores explainable and interpretable AI techniques for image processing, including gradient-based methods like saliency maps and...