alphaXiv

Explore

State of the Art

Sign In

Labs

Feedback

Browser Extension

We're hiring
PaperBlogResources

DIP: Unsupervised Dense In-Context Post-training of Visual Representations

BibTex
Copy
@misc{gidaris2025dipunsuperviseddense,
      title={DIP: Unsupervised Dense In-Context Post-training of Visual Representations},
      author={Spyros Gidaris and Andrei Bursuc and Antonin Vobecky and Nicolas Thome and Sophia Sirko-Galouchenko},
      year={2025},
      eprint={2506.18463},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2506.18463},
}
GitHub
DIP
3
HTTPS
https://github.com/sirkosophia/DIP
SSH
git@github.com:sirkosophia/DIP.git
CLI
gh repo clone sirkosophia/DIP
Transform this paper into an audio lecture
Get an engaging lecture and Q&A format to quickly understand the paper in minutes, perfect for learning on the go.
Audio lecture
Q&A format