no code implementations • 13 Jan 2024 • André Luiz B. Vieira e Silva, Francisco Simões, Danny Kowerko, Tobias Schlosser, Felipe Battisti, Veronica Teichrieb
Within (semi-)automated visual inspection, learning-based approaches for assessing visual defects, including deep neural networks, enable the processing of otherwise small defect patterns in pixel size on high-resolution imagery.
1 code implementation • 5 Nov 2023 • André Luiz Buarque Vieira e Silva, Francisco Simões, Danny Kowerko, Tobias Schlosser, Felipe Battisti, Veronica Teichrieb
Within (semi-)automated visual industrial inspection, learning-based approaches for assessing visual defects, including deep neural networks, enable the processing of otherwise small defect patterns in pixel size on high-resolution imagery.
Ranked #1 on Anomaly Detection on InsPLAD
no code implementations • 25 Apr 2022 • Tobias Schlosser, Frederik Beuth, Trixy Meyer, Arunodhayan Sampath Kumar, Gabriel Stolze, Olga Furashova, Katrin Engelmann, Danny Kowerko
However, in real-world settings, patients often suffer from loss of vision on time scales of years despite therapy, whereas the prediction of the visual acuity (VA) and the earliest possible detection of deterioration under real-life conditions is challenging due to heterogeneous and incomplete data.
no code implementations • 13 Feb 2021 • Frederik Beuth, Tobias Schlosser, Michael Friedrich, Danny Kowerko
However, one problem in the domain is that the faults are often very small and have to be detected within a larger size of the chip or even the wafer.
no code implementations • 1 Jan 2021 • 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, suggest an alternative, evolutionarily-based structure.
no code implementations • 25 Nov 2019 • Tobias Schlosser, Frederik Beuth, Michael Friedrich, Danny Kowerko
Consisting of stacked hybrid convolutional neural networks (SH-CNN) and inspired by current approaches of visual attention, the realized system draws the focus over the level of detail from its structures to more task-relevant areas of interest.
no code implementations • 25 Nov 2019 • 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 the advantages of evolutionary motivated structures based on biological models.
3 code implementations • 19 Apr 2018 • Stefan Kahl, Thomas Wilhelm-Stein, Holger Klinck, Danny Kowerko, Maximilian Eibl
Reliable identification of bird species in recorded audio files would be a transformative tool for researchers, conservation biologists, and birders.