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Found 3 papers, 3 papers with code
SAGHOG: Self-Supervised Autoencoder for Generating HOG Features for Writer Retrieval
This paper introduces SAGHOG, a self-supervised pretraining strategy for writer retrieval using HOG features of the binarized input image.
Feature Mixing for Writer Retrieval and Identification on Papyri Fragments
This paper proposes a deep-learning-based approach to writer retrieval and identification for papyri, with a focus on identifying fragments associated with a specific writer and those corresponding to the same image.
Towards Writer Retrieval for Historical Datasets
Our approach is evaluated on two historical datasets (Historical-WI and HisIR19).
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