Adversarial Learning Approach to Unsupervised Labeling of Fine Art Paintings

Adversarial Learning Approach to Unsupervised Labeling of Fine Art Paintings

An automatic classification of fine art images is limited by the scarcity of high-quality labels made by art experts. This study aims to provide meaningful automatic labeling of fine art paintings (machine labeling) without the need for human annotation. A new unsupervised Adversarial Clustering Sys...

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Bibliographic Details
Main Authors: Catherine Sandoval, Elena Pirogova, Margaret Lech
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Adversarial learning
art classification
data labeling
deep learning
digital humanity
optimization
Online Access:https://ieeexplore.ieee.org/document/9446994/

Internet

https://ieeexplore.ieee.org/document/9446994/

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