Deep Learning for Art History
This PhD project concern the recognition and detection of iconographic elements (object, person etc.) in the artworks. The two main points of this PhD are the identification of important need from the Art History and the use of the Deep Learning methods, especially the transfer learning.
A paper have been published about the weakly supervised detection of object in artwoks, you can find the project page here.