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of 81
pro vyhledávání: '"Schlosser, Tobias"'
Autor:
Hu, Zhining, Schlosser, Tobias, Friedrich, Michael, Silva, André Luiz Vieira e, Beuth, Frederik, Kowerko, Danny
In semiconductor manufacturing, the wafer dicing process is central yet vulnerable to defects that significantly impair yield - the proportion of defect-free chips. Deep neural networks are the current state of the art in (semi-)automated visual insp
Externí odkaz:
http://arxiv.org/abs/2407.20268
Autor:
Silva, André Luiz Buarque Vieira e, Simões, Francisco, Kowerko, Danny, Schlosser, Tobias, Battisti, Felipe, Teichrieb, Veronica
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. The emerg
Externí odkaz:
http://arxiv.org/abs/2311.02747
Autor:
Schlosser, Tobias, Beuth, Frederik, Meyer, Trixy, Kumar, Arunodhayan Sampath, Stolze, Gabriel, Furashova, Olga, Engelmann, Katrin, Kowerko, Danny
In ophthalmology, intravitreal operative medication therapy (IVOM) is a widespread treatment for diseases related to the age-related macular degeneration (AMD), the diabetic macular edema (DME), as well as the retinal vein occlusion (RVO). However, i
Externí odkaz:
http://arxiv.org/abs/2204.11970
Improving learning-based birdsong classification by utilizing combined audio augmentation strategies
Publikováno v:
In Ecological Informatics September 2024 82
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 visual attention, a smart human concept which focuses processing on a
Externí odkaz:
http://arxiv.org/abs/2102.06955
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. Inspired by the hum
Externí odkaz:
http://arxiv.org/abs/2101.00337
Autor:
Schlosser, Tobias1 (AUTHOR), Krasselt, Marco2 (AUTHOR), Elsing, Louis1 (AUTHOR), Hecker, Martin1 (AUTHOR), Holler, Babett1 (AUTHOR), Hoffmeister, Albrecht1 (AUTHOR)
Publikováno v:
Autoimmune Diseases (2090-0422). 3/27/2024, Vol. 2024, p1-11. 11p.
Visual acuity prediction on real-life patient data using a machine learning based multistage system.
Autor:
Schlosser, Tobias1 (AUTHOR) tobias.schlosser@cs.tu-chemnitz.de, Beuth, Frederik1 (AUTHOR), Meyer, Trixy1 (AUTHOR), Kumar, Arunodhayan Sampath1 (AUTHOR), Stolze, Gabriel2 (AUTHOR), Furashova, Olga2 (AUTHOR), Engelmann, Katrin2 (AUTHOR), Kowerko, Danny1 (AUTHOR) danny.kowerko@cs.tu-chemnitz.de
Publikováno v:
Scientific Reports. 3/6/2024, Vol. 14 Issue 1, p1-18. 18p.
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
Externí odkaz:
http://arxiv.org/abs/1911.11251
Automated visual inspection in the semiconductor industry aims to detect and classify manufacturing defects utilizing modern image processing techniques. While an earliest possible detection of defect patterns allows quality control and automation of
Externí odkaz:
http://arxiv.org/abs/1911.11250