An End-to-End Decision-Aware Multi-Scale Attention-Based Model for Explainable Autonomous Driving

ArXi:2605.00291v1 Announce Type: new The application of computer vision is gradually increasing across various domains. They employ deep learning models with a black-box nature. Without the ability to explain the behavior of neural networks, especially their decision-making processes, it is not possible to recognize their efficiency, predict system failures, or effectively implement them in real-world applications.