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Konstantin Kobs

Julius-Maximilians-University Würzburg

8 papers hereh-index 11436 citations24 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author4

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG3
  • cs.HC2
affiliations
  • Julius-Maximilians-University Würzburg
Homepage

identity via Semantic Scholar / OpenAlex

activity
20202023
most citedMapLUR: Exploring a new Paradigm for Estimating Air Pollution using Deep Learning on Map Images

18 citations · 25 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2022

InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images

Konstantin Kobs, Michael Steininger, Andreas Hotho

Common Deep Metric Learning (DML) datasets specify only one notion of similarity, e.g., two images in the Cars196 dataset are deemed similar if they show the same car model. We arg…

cs.CV2022

On Background Bias in Deep Metric Learning

Konstantin Kobs, Andreas Hotho

Deep Metric Learning trains a neural network to map input images to a lower-dimensional embedding space such that similar images are closer together than dissimilar images. When us…

cs.CV2022

Do Different Deep Metric Learning Losses Lead to Similar Learned Features?

Konstantin Kobs, Michael Steininger, Andrzej Dulny +1

Recent studies have shown that many deep metric learning loss functions perform very similarly under the same experimental conditions. One potential reason for this unexpected resu…

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