66 citations · 141 across the 32 of their papers we have counts for
4 papers · 1 filter
Exploring the Open World Using Incremental Extreme Value Machines
Tobias Koch, Felix Liebezeit, Christian Riess +2
Dynamic environments require adaptive applications. One particular machine learning problem in dynamic environments is open world recognition. It characterizes a continuously chang…
Synthetic Glacier SAR Image Generation from Arbitrary Masks Using Pix2Pix Algorithm
Rosanna Dietrich-Sussner, Amirabbas Davari, Thorsten Seehaus +4
Supervised machine learning requires a large amount of labeled data to achieve proper test results. However, generating accurately labeled segmentation maps on remote sensing image…
Glacier Calving Front Segmentation Using Attention U-Net
Michael Holzmann, Amirabbas Davari, Thorsten Seehaus +3
An essential climate variable to determine the tidewater glacier status is the location of the calving front position and the separation of seasonal variability from long-term tren…
Bayesian U-Net for Segmenting Glaciers in SAR Imagery
Andreas Hartmann, Amirabbas Davari, Thorsten Seehaus +3
Fluctuations of the glacier calving front have an important influence over the ice flow of whole glacier systems. It is therefore important to precisely monitor the position of the…