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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...
Autores principales: | Treneska, Sandra, Zdravevski, Eftim, Pires, Ivan Miguel, Lameski, Petre, Gievska, Sonja |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
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 |
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