Historical Document Image Segmentation with LDA-Initialized Deep Neural
Networks

Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks

19 October 2017

Michele Alberti

Mathias Seuret

Vinaychandran Pondenkandath

Papers citing "Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks"

5 / 5 papers shown

Title
Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks Michele Alberti A. Botros Narayan Schütz Rolf Ingold Marcus Liwicki Mathias Seuret MedIm 19 2 0 12 Nov 2019
Labeling, Cutting, Grouping: an Efficient Text Line Segmentation Method for Medieval Manuscripts Michele Alberti Lars Vogtlin Vinaychandran Pondenkandath Mathias Seuret Rolf Ingold Marcus Liwicki 26 29 0 11 Jun 2019
A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis Linda Studer Michele Alberti Vinaychandran Pondenkandath Pinar Goktepe Thomas Kolonko Andreas Fischer Marcus Liwicki Rolf Ingold VLM 33 52 0 22 May 2019
DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments Michele Alberti Vinaychandran Pondenkandath Marcel Würsch Rolf Ingold Marcus Liwicki 21 27 0 23 Apr 2018
A Pitfall of Unsupervised Pre-Training Michele Alberti Mathias Seuret Rolf Ingold Marcus Liwicki SSL 17 11 0 23 Nov 2017