Tackling Data Bias in Painting Classification with Style Transfer

Mridula Vijendran, Frederick W. B. Li, Hubert P. H. Shum

It is difficult to train classifiers on paintings collections due to model bias from domain gaps and data bias from the uneven distribution of artistic styles. Previous techniques…