Feature visualization in comic artist classification using deep neural networks

Feature visualization in comic artist classification using deep neural networks

Abstract Deep neural networks have become a standard framework for image analytics. Besides the traditional applications, such as object classification and detection, the latest studies have started to expand the scope of the applications to include artworks. However, popular art forms, such as comi...

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Bibliographic Details
Main Author: Kim Young-Min
Format: Article
Language:English
Published: SpringerOpen 2019-06-01
Series:Journal of Big Data
Subjects:
Artistic styles
Comic classification
Convolutional neural networks
Deep neural networks
Feature visualization
Online Access:http://link.springer.com/article/10.1186/s40537-019-0222-3

Internet

http://link.springer.com/article/10.1186/s40537-019-0222-3

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