"Adversarially Smoothed Feature Alignment for Visual Domain Adaptation."

Mohamed Azzam et al. (2021)

> Home

Details and statistics

DOI: 10.1109/IJCNN52387.2021.9533492

access: closed

type: Conference or Workshop Paper

metadata version: 2022-08-05

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/ijcnn/AzzamWZGW21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ijcnn/AzzamWZGW21
Mohamed Azzam, Si Wu, Yang Zhang, Aurele Tohokantche Gnanha, Hau-San Wong:
Adversarially Smoothed Feature Alignment for Visual Domain Adaptation. IJCNN 2021: 1-7

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.