On art authentication and the Rijksmuseum challenge: A residual neural network approach

作者：

Highlights：

• Artist classification from image using machine learning algorithm.

• Art authentication using machine learning.

• ResNet 101 performance improvement on whole image classification.

• Standard Rijksmuseum experiment data set creation.

• Standard Method for performance from imbalanced data.

摘要

•Artist classification from image using machine learning algorithm.•Art authentication using machine learning.•ResNet 101 performance improvement on whole image classification.•Standard Rijksmuseum experiment data set creation.•Standard Method for performance from imbalanced data.

论文关键词：Art authentication,Deep learning,Digital image processing,Machine learning,Residual neural network

论文评审过程：Received 1 May 2021, Revised 30 October 2021, Accepted 17 March 2022, Available online 27 March 2022, Version of Record 6 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116933