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Thomas Käster

1 paper hereh-index 6186 citations17 works total

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author position
  • middle author1

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

fields
  • cs.CV1

identity via Semantic Scholar / OpenAlex

most citedDeep Convolutional Neural Networks as Generic Feature Extractors

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2017★ 3 cited

Deep Convolutional Neural Networks as Generic Feature Extractors

Lars Hertel, Erhardt Barth, Thomas Käster +1

Recognizing objects in natural images is an intricate problem involving multiple conflicting objectives. Deep convolutional neural networks, trained on large datasets, achieve conv…

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