GAN-Based Image Colorization for Self-Supervised Visual Feature Learning

Large-scale labeled datasets are generally necessary for successfully training a deep neural network in the computer vision domain. In order to avoid the costly and tedious work of manually annotating image datasets, self-supervised learning methods have been proposed to learn general visual feature...

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Detalles Bibliográficos
Autores principales: Treneska, Sandra, Zdravevski, Eftim, Pires, Ivan Miguel, Lameski, Petre, Gievska, Sonja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880520/
https://www.ncbi.nlm.nih.gov/pubmed/35214498
http://dx.doi.org/10.3390/s22041599

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880520/
https://www.ncbi.nlm.nih.gov/pubmed/35214498
http://dx.doi.org/10.3390/s22041599

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