research
∙
11/23/2022
InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images
Common Deep Metric Learning (DML) datasets specify only one notion of si...
share
research
∙
07/07/2022
Semi-unsupervised Learning for Time Series Classification
Time series are ubiquitous and therefore inherently hard to analyze and ...
research
∙
05/05/2022
Do Different Deep Metric Learning Losses Lead to Similar Learned Features?
Recent studies have shown that many deep metric learning loss functions ...
research
∙
10/08/2021
Anomaly Detection in Beehives: An Algorithm Comparison
Sensor-equipped beehives allow monitoring the living conditions of bees....
research
∙
03/10/2020
Anomaly Detection in Beehives using Deep Recurrent Autoencoders
Precision beekeeping allows to monitor bees' living conditions by equipp...
research
∙
03/06/2020
SimLoss: Class Similarities in Cross Entropy
One common loss function in neural network classification tasks is Categ...
research
∙
02/18/2020
