36 citations · 60 across the 5 of their papers we have counts for
5 papers
Automated Visual Monitoring of Nocturnal Insects with Light-based Camera Traps
Dimitri Korsch, Paul Bodesheim, Gunnar Brehm +1
Automatic camera-assisted monitoring of insects for abundance estimations is crucial to understand and counteract ongoing insect decline. In this paper, we present two datasets of…
Deep Learning Pipeline for Automated Visual Moth Monitoring: Insect Localization and Species Classification
Dimitri Korsch, Paul Bodesheim, Joachim Denzler
Biodiversity monitoring is crucial for tracking and counteracting adverse trends in population fluctuations. However, automatic recognition systems are rarely applied so far, and e…
Simplified Concrete Dropout -- Improving the Generation of Attribution Masks for Fine-grained Classification
Dimitri Korsch, Maha Shadaydeh, Joachim Denzler
Fine-grained classification is a particular case of a classification problem, aiming to classify objects that share the visual appearance and can only be distinguished by subtle di…
End-to-end Learning of a Fisher Vector Encoding for Part Features in Fine-grained Recognition
Dimitri Korsch, Paul Bodesheim, Joachim Denzler
Part-based approaches for fine-grained recognition do not show the expected performance gain over global methods, although explicitly focusing on small details that are relevant fo…
Classification-Specific Parts for Improving Fine-Grained Visual Categorization
Dimitri Korsch, Paul Bodesheim, Joachim Denzler
Fine-grained visual categorization is a classification task for distinguishing categories with high intra-class and small inter-class variance. While global approaches aim at using…