IEEE

Local Uncertainty Energy Transfer for Active Domain Adaptation

Abstract: Active Domain Adaptation (ADA) improves knowledge transfer efficiency from the labeled source domain to the unlabeled target domain by selecting a few target sample labels. However, most ...
IEEE

Learning Class-Aware Local Representations for Few-Shot Remote Sensing Scene Classification

Abstract: Few-Shot Remote Sensing Scene Classification (FSRSSC) aims at recognizing novel categories with only a few labeled samples. Local representations can retain richer details than image-level ...