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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…
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…
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…
Adaptive kNN using Expected Accuracy for Classification of Geo-Spatial Data
Mark Kibanov, Martin Becker, Juergen Mueller +3
The k-Nearest Neighbor (kNN) classification approach is conceptually simple - yet widely applied since it often performs well in practical applications. However, using a global con…