CAD Models to Real-World Images: A Practical Approach to Unsupervised Domain Adaptation in Industrial Object Classification

Konferenzbeitrag › Konferenzpaper › 2023

Zitation

Ritter, Dennis; Hönig, Marc; Stopp, Volker; Hemberger, Mike; Rodner, Erik; Hildebrand, Kristian: CAD Models to Real-World Images: A Practical Approach to Unsupervised Domain Adaptation in Industrial Object Classification. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Workshop Adapting to Change: Reliable Learning Across Domains. Turin, Italy: 2023( Communications in Computer and Information Science), S. 1-9.

ISSN

1865-0937

DOI / URN

doi.org/10.48550/arXiv.2310.04757

Link

https://arxiv.org/abs/2310.04757

Sprache

Deutsch

Zitieren

BibTeX / RIS