"MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental ..."

Julien Nicolas et al. (2024)

> Home

Details and statistics

DOI: 10.1109/WACV57701.2024.00178

access: closed

type: Conference or Workshop Paper

metadata version: 2024-04-17

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/wacv/NicolasCZADD24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/wacv/NicolasCZADD24
Julien Nicolas, Florent Chiaroni, Imtiaz Masud Ziko, Ola Ahmad, Christian Desrosiers, Jose Dolz:
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning. WACV 2024: 1751-1761

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.