Investigating Semantic Augmentation in Virtual Environments for Image Segmentation Using Convolutional Neural Networks

Collecting real-world data for the training of neural networks is enormously time-consuming and expensive. As such, the concept of virtualizing the domain and creating synthetic data has been analyzed in many instances. This virtualization offers many possibilities of changing the domain, and with t...

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Detalles Bibliográficos
Autores principales: Ganter, Joshua, Löffler, Simon, Metzger, Ron, Ußling, Katharina, Müller, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8404924/
https://www.ncbi.nlm.nih.gov/pubmed/34460782
http://dx.doi.org/10.3390/jimaging7080146

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8404924/
https://www.ncbi.nlm.nih.gov/pubmed/34460782
http://dx.doi.org/10.3390/jimaging7080146

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