Boosting Out-of-Distribution Detection Performance from the Perspective of Spatial Feature Importance Research Background and Problem Statement In practical applications of deep learning models, ensuring that models can reliably reject predictions when faced with inputs from unknown categories is crucial for system safety and robustness. This need ...