no code implementations • 21 Mar 2024 • Tom Burgert, Begüm Demir
The application of data augmentation for deep learning (DL) methods plays an important role in achieving state-of-the-art results in supervised, semi-supervised, and self-supervised image classification.
no code implementations • 28 Jul 2022 • Tom Burgert, Mahdyar Ravanbakhsh, Begüm Demir
In this paper, we investigate three different noise robust CV SLC methods and adapt them to be robust for multi-label noise scenarios in RS.