"Cycle-consistent generative adversarial neural networks based low quality ..."

Dogus Karabulut et al. (2020)

> Home

Details and statistics

DOI: 10.1007/S11042-020-08750-8

access: closed

type: Journal Article

metadata version: 2021-04-09

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/mta/KarabulutTAONVV20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/mta/KarabulutTAONVV20
Dogus Karabulut, Pavlo Tertychnyi, Hasan Sait Arslan, Cagri Ozcinar, Kamal Nasrollahi, Joan Valls, Joan Vilaseca, Thomas B. Moeslund, Gholamreza Anbarjafari:
Cycle-consistent generative adversarial neural networks based low quality fingerprint enhancement. Multim. Tools Appl. 79(25-26): 18569-18589 (2020)

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.