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

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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Bibliographic Details
Main Authors: Sandra Treneska, Eftim Zdravevski, Ivan Miguel Pires, Petre Lameski, Sonja Gievska
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Sensors
Subjects:
self-supervised learning
transfer learning
image colorization
convolutional neural network
generative adversarial network
Online Access:https://www.mdpi.com/1424-8220/22/4/1599

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