21 citations · 37 across the 13 of their papers we have counts for
3 papers · 1 filter
Integrating domain knowledge: using hierarchies to improve deep classifiers
Clemens-Alexander Brust, Joachim Denzler
One of the most prominent problems in machine learning in the age of deep learning is the availability of sufficiently large annotated datasets. For specific domains, e.g. animal s…
Not just a matter of semantics: the relationship between visual similarity and semantic similarity
Clemens-Alexander Brust, Joachim Denzler
Knowledge transfer, zero-shot learning and semantic image retrieval are methods that aim at improving accuracy by utilizing semantic information, e.g. from WordNet. It is assumed t…
Active Learning for Deep Object Detection
Clemens-Alexander Brust, Christoph Käding, Joachim Denzler
The great success that deep models have achieved in the past is mainly owed to large amounts of labeled training data. However, the acquisition of labeled data for new tasks aside…