Multiple Document Datasets Pre-training Improves Text Line Detection With Deep Neural Networks

28 December 2020

Papers citing "Multiple Document Datasets Pre-training Improves Text Line Detection With Deep Neural Networks"

10 / 10 papers shown

Title
Text Line Segmentation for Challenging Handwritten Document Images Using Fully Convolutional Network Berat Kurar Barakat Ahmad Droby M. Kassis Jihad El-Sana 36 41 0 20 Jan 2021
HORAE: an annotated dataset of books of hours Mélodie Boillet Marie-Laurence Bonhomme Dominique Stutzmann Christopher Kermorvant 29 20 0 01 Dec 2020
dhSegment: A generic deep-learning approach for document segmentation S. Oliveira Benoit Seguin F. Kaplan SSeg 49 172 0 27 Apr 2018
A Two-Stage Method for Text Line Detection in Historical Documents Tobias Grüning Gundram Leifert Tobias Strauß Johannes Michael R. Labahn 41 143 0 09 Feb 2018
Open Evaluation Tool for Layout Analysis of Document Images Michele Alberti Manuel Bouillon Rolf Ingold Marcus Liwicki 31 24 0 23 Nov 2017
Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network Xiao Yang Ersin Yumer P. Asente Mike Kraley Daniel Kifer C. Lee Giles 56 230 0 07 Jun 2017
READ-BAD: A New Dataset and Evaluation Scheme for Baseline Detection in Archival Documents Tobias Grüning R. Labahn Markus Diem Florian Kleber Stefan Fiel 30 65 0 09 May 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.2K 76,547 0 18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 328 43,154 0 11 Feb 2015