This study proposes an efficient fine art image classification method integrating lightweight deep learning to address the limitations of low efficiency and poor generalization in art image ...

A new paradigm for Panofsky's theories of iconographical analysis -- Graffiti art in an iconographic framework -- Graffiti art in a classificatory framework -- Developing the faceted classification ...

Art has been one of the ways in which humans have impressed themselves on the world, changing as it has done over the course of distinct historical periods and regions. Art curation and classification ...

Traditional machine learning models for automatic information classification require retraining data for each task. Researchers have demonstrated that art data can be automatically classified with ...