"Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised ..."

Aobo Li et al. (2024)

> Home

Details and statistics

DOI: 10.1109/CVPR52733.2024.02685

access: closed

type: Conference or Workshop Paper

metadata version: 2024-10-07

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/cvpr/LiW0L24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cvpr/LiW0L24
Aobo Li, Jinjian Wu, Yongxu Liu, Leida Li:
Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised Domain Adaptation for Blind Image Quality Assessment. CVPR 2024: 28422-28431

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.