"A Comprehensive Study of ImageNet Pre-Training for Historical Document ..."

Linda Studer et al. (2019)

> Home

Details and statistics

DOI: 10.1109/ICDAR.2019.00120

access: closed

type: Conference or Workshop Paper

metadata version: 2021-10-14

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/icdar/StuderAPGK0LI19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icdar/StuderAPGK0LI19
Linda Studer, Michele Alberti, Vinaychandran Pondenkandath, Pinar Goktepe, Thomas Kolonko, Andreas Fischer, Marcus Liwicki, Rolf Ingold:
A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis. ICDAR 2019: 720-725

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.