4 citations · 10 across the 18 of their papers we have counts for
5 papers · 1 filter
Fusing Forces: Deep-Human-Guided Refinement of Segmentation Masks
Rafael Sterzinger, Christian Stippel, Robert Sablatnig
Etruscan mirrors constitute a significant category in Etruscan art, characterized by elaborate figurative illustrations featured on their backside. A laborious and costly aspect of…
KaiRacters: Character-level-based Writer Retrieval for Greek Papyri
Marco Peer, Robert Sablatnig, Olga Serbaeva +1
This paper presents a character-based approach for enhancing writer retrieval performance in the context of Greek papyri. Our contribution lies in introducing character-level annot…
SAGHOG: Self-Supervised Autoencoder for Generating HOG Features for Writer Retrieval
Marco Peer, Florian Kleber, Robert Sablatnig
This paper introduces SAGHOG, a self-supervised pretraining strategy for writer retrieval using HOG features of the binarized input image. Our preprocessing involves the applicatio…
Drawing the Line: Deep Segmentation for Extracting Art from Ancient Etruscan Mirrors
Rafael Sterzinger, Simon Brenner, Robert Sablatnig
Etruscan mirrors constitute a significant category within Etruscan art and, therefore, undergo systematic examinations to obtain insights into ancient times. A crucial aspect of th…
Enhancing Historical Image Retrieval with Compositional Cues
Tingyu Lin, Robert Sablatnig
In analyzing vast amounts of digitally stored historical image data, existing content-based retrieval methods often overlook significant non-semantic information, limiting their ef…