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cs.CV2026
On the Transfer of Collinearity to Computer Vision
Frederik Beuth, Danny Kowerko
Collinearity is a visual perception phenomenon in the human brain that amplifies spatially aligned edges arranged along a straight line. However, it is vague for which purpose huma…
cs.CV2024
Utilizing Generative Adversarial Networks for Image Data Augmentation and Classification of Semiconductor Wafer Dicing Induced Defects
Zhining Hu, Tobias Schlosser, Michael Friedrich +3
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 net…
cs.CV2024
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…