27 citations · 71 across the 6 of their papers we have counts for
6 papers
Visual Acuity Prediction on Real-Life Patient Data Using a Machine Learning Based Multistage System
Tobias Schlosser, Frederik Beuth, Trixy Meyer +5
In ophthalmology, intravitreal operative medication therapy (IVOM) is a widespread treatment for diseases related to the age-related macular degeneration (AMD), the diabetic macula…
Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning
Frederik Beuth, Tobias Schlosser, Michael Friedrich +1
It is a long-term goal to transfer biological processing principles as well as the power of human recognition into machine vision and engineering systems. One of such principles is…
Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Generation
Tobias Schlosser, Frederik Beuth, Danny Kowerko
Whereas conventional state-of-the-art image processing systems of recording and output devices almost exclusively utilize square arranged methods, biological models, however, sugge…
Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework
Tobias Schlosser, Michael Friedrich, Danny Kowerko
Inspired by the human visual perception system, hexagonal image processing in the context of machine learning deals with the development of image processing systems that combine th…
A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks
Tobias Schlosser, Frederik Beuth, Michael Friedrich +1
Automated visual inspection in the semiconductor industry aims to detect and classify manufacturing defects utilizing modern image processing techniques. While an earliest possible…
Recognizing Birds from Sound - The 2018 BirdCLEF Baseline System
Stefan Kahl, Thomas Wilhelm-Stein, Holger Klinck +2
Reliable identification of bird species in recorded audio files would be a transformative tool for researchers, conservation biologists, and birders. In recent years, artificial ne…