Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis

Many machine learning applications can benefit from simulated data for systematic validation - in particular if real-life data is difficult to obtain or annotate. However, since simulations are prone to domain shift w.r.t. real-life data, it is crucial to verify the transferability of the obtained r...

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Veröffentlicht in:	arXiv.org 2021-06
Hauptverfasser:	Rosenzweig, Julia, Brito, Eduardo, Hans-Ulrich Kobialka, Maram Akila, Schmidt, Nico M, Schlicht, Peter, Schneider, Jan David, Hüger, Fabian, Rottmann, Matthias, Houben, Sebastian, Wirtz, Tim
Format:	Artikel
Sprache:	eng
Schlagworte:	Correlation analysis Domains Image segmentation Machine learning Pedestrians Semantic segmentation Semantics Simulation Synthesis
Online-Zugang:	Volltext
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