5 citations · 5 across the 4 of their papers we have counts for
4 papers
Analyzing Training-Free Corruption Detection for Object Detection Datasets
Christian Sieberichs, Simon Geerkens, Thomas Waschulzik +2
Annotation errors are widespread in computer vision datasets and can significantly degrade the performance of systems trained on them, particularly in complex tasks such as object…
ECS -- an Interactive Tool for Data Quality Assurance
Christian Sieberichs, Simon Geerkens, Alexander Braun +1
With the increasing capabilities of machine learning systems and their potential use in safety-critical systems, ensuring high-quality data is becoming increasingly important. In t…
QI2 -- an Interactive Tool for Data Quality Assurance
Simon Geerkens, Christian Sieberichs, Alexander Braun +1
The importance of high data quality is increasing with the growing impact and distribution of ML systems and big data. Also the planned AI Act from the European commission defines…
Towards a safe MLOps Process for the Continuous Development and Safety Assurance of ML-based Systems in the Railway Domain
Marc Zeller, Thomas Waschulzik, Reiner Schmid +1
Traditional automation technologies alone are not sufficient to enable driverless operation of trains (called Grade of Automation (GoA) 4) on non-restricted infrastructure. The req…