ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification

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

ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification

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

Authors

Mridula Vijendran mridula.vijendran@durham.ac.uk
PGR Student Doctor of Philosophy

Dr Frederick Li frederick.li@durham.ac.uk
Associate Professor

Dr Jingjing Deng jingjing.deng@durham.ac.uk
Assistant Professor

Professor Hubert Shum hubert.shum@durham.ac.uk
Professor

Citation

Vijendran, M., Li, F. W. B., Deng, J., & Shum, H. P. H. (in press). ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification. In CCIS '24: Communications in Computer and Information Science. Springer

Deposit Date	Aug 5, 2024
Publisher	Springer
Peer Reviewed	Peer Reviewed
Series ISSN	1865-0929
Book Title	CCIS '24: Communications in Computer and Information Science
Public URL	https://durham-repository.worktribe.com/output/2740949
Publisher URL	https://www.springer.com/series/7899
Contract Date	Aug 3, 2024

This file is under embargo due to copyright reasons.

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