3 papers
cs.CV2025
Masked Self-Supervised Pre-Training for Text Recognition Transformers on Large-Scale Datasets
Martin Kišš, Michal Hradiš
Self-supervised learning has emerged as a powerful approach for leveraging large-scale unlabeled data to improve model performance in various domains. In this paper, we explore mas…
cs.CV2025
AnnoPage Dataset: Dataset of Non-Textual Elements in Documents with Fine-Grained Categorization
Martin Kišš, Michal Hradiš, Martina Dvořáková +2
We introduce the AnnoPage Dataset, a novel collection of 7,550 pages from historical documents, primarily in Czech and German, spanning from 1485 to the present, focusing on the la…
cs.CV2024
Self-supervised Pre-training of Text Recognizers
Martin Kišš, Michal Hradiš
In this paper, we investigate self-supervised pre-training methods for document text recognition. Nowadays, large unlabeled datasets can be collected for many research tasks, inclu…