Abstract: In hyperspectral cross-scene classification tasks, it is often challenging to obtain target domain samples during the training phase. Therefore, models need to be trained on one or multiple ...

The delicate balance between discrimination and generalization of responses is crucial for survival in our ever-changing environment. In particular, it is important to understand how stimulus ...

A post highlighting a professor’s frustration over widespread AI-generated student writing has gone viral on social media, striking a nerve amid ongoing debates about artificial intelligence in ...

Abstract: The domain generalization approach seeks to develop a universal model that performs well on unknown target domains with the aid of diverse source domains. Data augmentation has proven to be ...