2 citations · 3 across the 3 of their papers we have counts for
3 papers
Improving Out-of-Distribution Detection with Markov Logic Networks
Konstantin Kirchheim, Frank Ortmeier
Out-of-distribution (OOD) detection is essential for ensuring the reliability of deep learning models operating in open-world scenarios. Current OOD detectors mainly rely on statis…
Towards Transformer-based Homogenization of Satellite Imagery for Landsat-8 and Sentinel-2
Venkatesh Thirugnana Sambandham, Konstantin Kirchheim, Sayan Mukhopadhaya +1
Landsat-8 (NASA) and Sentinel-2 (ESA) are two prominent multi-spectral imaging satellite projects that provide publicly available data. The multi-spectral imaging sensors of the sa…
Addressing Randomness in Evaluation Protocols for Out-of-Distribution Detection
Konstantin Kirchheim, Tim Gonschorek, Frank Ortmeier
Deep Neural Networks for classification behave unpredictably when confronted with inputs not stemming from the training distribution. This motivates out-of-distribution detection (…