"Learning to Adapt Deep Corrosion Assessment Models From Indoor to Outdoor ..."

Nicholas Josselyn et al. (2025)

> Home

Details and statistics

DOI: 10.1109/ACCESS.2025.3555118

access: open

type: Journal Article

metadata version: 2025-05-09

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/access/JosselynYCKRJSGZR25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/access/JosselynYCKRJSGZR25
Nicholas Josselyn, Biao Yin, Thomas A. Considine, John V. Kelley, Berend Christopher Rinderspacher, Robert E. Jensen, James F. Snyder, Walter Gerych, Ziming Zhang, Elke A. Rundensteiner:
Learning to Adapt Deep Corrosion Assessment Models From Indoor to Outdoor Image Domains. IEEE Access 13: 61368-61383 (2025)

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.