3 papers
cs.CV2025
Towards the Influence of Text Quantity on Writer Retrieval
Marco Peer, Robert Sablatnig, Florian Kleber
This paper investigates the task of writer retrieval, which identifies documents authored by the same individual within a dataset based on handwriting similarities. While existing…
cs.CV2024
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…
cs.CV2024
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…