Achieving high reliability in AI systems—such as autonomous vehicles that stay on course even in snowstorms or medical AI ...

Abstract: Data augmentation (DA) stands out as a powerful technique to enhance the generalization capabilities of deep neural networks across diverse tasks. However, in low-level vision tasks, DA ...

Abstract: Medical image datasets often suffer from inadequate labeling, primarily due to ethical constraints, expertise challenges, and high annotation costs. In addition, domain shifts, resulting ...