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05/11/2023
Combining OCR Models for Reading Early Modern Printed Books
In this paper, we investigate the usage of fine-grained font recognition...
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03/29/2023
WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models
Text-to-Image synthesis is the task of generating an image according to ...
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12/15/2022
Writer Retrieval and Writer Identification in Greek Papyri
The analysis of digitized historical manuscripts is typically addressed ...
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04/07/2022
TorMentor: Deterministic dynamic-path, data augmentations with fractals
We propose the use of fractals as a means of efficient data augmentation...
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03/16/2022
A Survey of Historical Document Image Datasets
This paper presents a systematic literature review of image datasets for...
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07/15/2020
Proof of Concept: Automatic Type Recognition
The type used to print an early modern book can give scholars valuable i...
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12/08/2019
ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents
This competition investigates the performance of large-scale retrieval o...
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08/14/2019
Deep Generalized Max Pooling
Global pooling layers are an essential part of Convolutional Neural Netw...
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08/21/2018
Are You Tampering With My Data?
We propose a novel approach towards adversarial attacks on neural networ...
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11/23/2017
A Pitfall of Unsupervised Pre-Training
The point of this paper is to question typical assumptions in deep learn...
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10/19/2017
Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks
In this paper, we present a novel approach to perform deep neural networ...
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04/05/2017
Convolutional Neural Networks for Page Segmentation of Historical Document Images
This paper presents a Convolutional Neural Network (CNN) based page segm...
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03/13/2017
What You Expect is NOT What You Get! Questioning Reconstruction/Classification Correlation of Stacked Convolutional Auto-Encoder Features
In this paper, we thoroughly investigate the quality of features produce...
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02/01/2017
