WACV · 2024 · Conference paper · Lead author with a top-venue record

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

Julien Nicolas, Florent Chiaroni, Imtiaz Masud Ziko, Ola Ahmad, Christian Desrosiers, José Dolz

École de Technologie Supérieure · Thales (Australia)

Published in
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Date
2024-01-03
Citations
10
arXiv
2307.05707
Cite
@inproceedings{nicolas2024mopclip,
  title = {MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning},
  author = {Julien Nicolas and Florent Chiaroni and Imtiaz Masud Ziko and Ola Ahmad and Christian Desrosiers and José Dolz},
  year = {2024},
  booktitle = {2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
  eprint = {2307.05707},
  archivePrefix = {arXiv},
  doi = {10.1109/WACV57701.2024.00178},
  url = {https://arxiv.org/abs/2307.05707},
}