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pro vyhledávání: '"Maria Luschkova"'
Autor:
Patrick Trampert, Dmitri Rubinstein, Faysal Boughorbel, Christian Schlinkmann, Maria Luschkova, Philipp Slusallek, Tim Dahmen, Stefan Sandfeld
Publikováno v:
Crystals, Vol 11, Iss 3, p 258 (2021)
The analysis of microscopy images has always been an important yet time consuming process in materials science. Convolutional Neural Networks (CNNs) have been very successfully used for a number of tasks, such as image segmentation. However, training
Externí odkaz:
https://doaj.org/article/e0a1395a541749b0aec9c7207c76b4ed
Autor:
Pierre Gutierrez, Mona Schappert, Antoine Cordier, Maria Luschkova, Mustafa Shukor, Tim Dahmen
Publikováno v:
Fifteenth International Conference on Quality Control by Artificial Vision.
Deep learning is now the gold standard in computer vision-based quality inspection systems. In order to detect defects, supervised learning is often utilized, but necessitates a large amount of annotated images, which can be costly: collecting, clean