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Benedikt T. Imbusch

1 paper hereh-index 379 citations3 works total

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  • first author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • cs.CV1

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most citedSynthetic-to-Real Domain Adaptation using Contrastive Unpaired Translation

15 citations · 15 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2022★ 15 cited

Synthetic-to-Real Domain Adaptation using Contrastive Unpaired Translation

Benedikt T. Imbusch, Max Schwarz, Sven Behnke

The usefulness of deep learning models in robotics is largely dependent on the availability of training data. Manual annotation of training data is often infeasible. Synthetic data…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.