Towards Tackling Multi-Label Imbalances in Remote Sensing Imagery. - Dominik Koßmann; Thorsten Wilhelm; Gernot A. Fink (ICPR, 2020)

Generation of Attributes for Highly Imbalanced Land Cover Data. - Dominik Koßmann; Thorsten Wilhelm; Gernot A. Fink (IGARSS, 2021)

Land Cover Classification from a Mapping Perspective: Pixelwise Supervision in the Deep Learning Era. - Thorsten Wilhelm; Dominik Koßmann (IGARSS, 2021)

Image Augmentations in Planetary Science: Implications in Self-Supervised Learning and Weakly-Supervised Segmentation on Mars. - Dominik Koßmann; Arthur Matei; Thorsten Wilhelm; Gernot A. Fink (ICPR, 2022)

Seasonet: A Seasonal Scene Classification, Segmentation and Retrieval Dataset for Satellite Imagery Over Germany. - Dominik Koßmann; Viktor Brack; Thorsten Wilhelm (IGARSS, 2022)

Machine Learning on Mars: Open Challenges, Similarities and Differences to Earth Remote Sensing. - Thorsten Wilhelm; Dominik Koßmann; Christian Wöhler (IGARSS, 2022)

Evaluation of Season Invariant Self-Supervised Representations on Remote Sensing Land Cover Data. - Arthur Matei; Dominik Koßmann (IGARSS, 2023)

Local Representation Learning Using Visual Priors for Remote Sensing. - Viktor Brack; Dominik Koßmann (IGARSS, 2024)