Simon-Martin Schröder

A Data-Centric Approach for Improving Ambiguous Labels with Combined Semi-Supervised Classification and Clustering

"Consistently high data quality is essential for the development of novel loss functions and architectures in the field of deep learning. The existence of such data and labels is usually presumed, while acquiring high-quality datasets is still a major issue in many cases. Subjective annotations by a…