21 citations · 23 across the 6 of their papers we have counts for
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cs.CV2020
Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge
Clemens-Alexander Brust, Björn Barz, Joachim Denzler
Noisy data, crawled from the web or supplied by volunteers such as Mechanical Turkers or citizen scientists, is considered an alternative to professionally labeled data. There has…
cs.CV2020★ 21 cited
Active and Incremental Learning with Weak Supervision
Clemens-Alexander Brust, Christoph Käding, Joachim Denzler
Large amounts of labeled training data are one of the main contributors to the great success that deep models have achieved in the past. Label acquisition for tasks other than benc…