Explainable Models

Explainable Models refer to artificial intelligence models that can provide transparency and explainability in their decision-making processes. These models are designed to ensure that the prediction results of machine learning algorithms are not only accurate but also logically clear, making them easy for humans to understand and verify. In the field of computer vision, Explainable Models enhance the credibility and reliability of systems by revealing the underlying mechanisms of image recognition and processing, thus holding significant value in high-risk application scenarios such as medical diagnosis and autonomous driving.