DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis-Reference-Cited by-同舟云学术

DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis

Published:2023-08-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 7th International Workshop on Historical Document Imaging and Processing
language:
Short-container-title:

Author:

Vögtlin Lars¹^ORCID,Scius-Bertrand Anna¹^ORCID,Maergner Paul¹^ORCID,Fischer Andreas¹^ORCID,Ingold Rolf¹^ORCID

Affiliation:

1. University of Fribourg, Switzerland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3604951.3605511

Reference18 articles.

1. 2020. Anaconda Software Distribution. 2020. Anaconda Software Distribution.

2. Michele Alberti , Vinaychandran Pondenkandath , Lars Vögtlin , Marcel Würsch , Rolf Ingold , and Marcus Liwicki . 2019 . Improving Reproducible Deep Learning Workflows with DeepDIVA. In 2019 6th Swiss Conference on Data Science (SDS). 13–18 . Michele Alberti, Vinaychandran Pondenkandath, Lars Vögtlin, Marcel Würsch, Rolf Ingold, and Marcus Liwicki. 2019. Improving Reproducible Deep Learning Workflows with DeepDIVA. In 2019 6th Swiss Conference on Data Science (SDS). 13–18.

3. Michele Alberti , Vinaychandran Pondenkandath , Marcel Würsch , Rolf Ingold , and Marcus Liwicki . 2018 . DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments. In 2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR). 423–428 . Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Rolf Ingold, and Marcus Liwicki. 2018. DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments. In 2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR). 423–428.

4. Vijay Badrinarayanan , Alex Kendall , and Roberto Cipolla . 2017 . Segnet: A deep convolutional encoder-decoder architecture for image segmentation . IEEE transactions on pattern analysis and machine intelligence 39, 12 (2017), 2481–2495. Vijay Badrinarayanan, Alex Kendall, and Roberto Cipolla. 2017. Segnet: A deep convolutional encoder-decoder architecture for image segmentation. IEEE transactions on pattern analysis and machine intelligence 39, 12 (2017), 2481–2495.

5. Lukas Biewald. 2020. Experiment Tracking with Weights and Biases. Lukas Biewald. 2020. Experiment Tracking with Weights and Biases.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Historical document image analysis using controlled data for pre-training;International Journal on Document Analysis and Recognition (IJDAR);2023-05-10