"Recovering real-world images from single-scale boundaries with a novel ..."

Matthias S. Keil et al. (2005)

> Home

Details and statistics

DOI: 10.1016/J.NEUNET.2005.04.003

access: closed

type: Journal Article

metadata version: 2020-05-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/nn/KeilCHN05
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/nn/KeilCHN05
Matthias S. Keil, Gabriel Cristóbal, Thorsten Hansen, Heiko Neumann:
Recovering real-world images from single-scale boundaries with a novel filling-in architecture. Neural Networks 18(10): 1319-1331 (2005)

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.