Humans ask what things mean. Animals move on. That difference explains both our brilliance and much of our psychological ...

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 ...

Abstract: Learning invariant representations via contrastive learning has seen state-of-the-art performance in domain generalization (DG). Despite such success, in this paper, we find that its core ...