README.md

metadata

title: README
emoji: 🚀
colorFrom: green
colorTo: blue
sdk: static
pinned: true
license: mit
short_description: Bridging the gap for Arabic text-image understanding

Arabic CLIP: Bridging the gap to text-to-image understanding in Arabic

🔥 Project's purpose

This work creating the base for different directions in the connection between two fields, Natural Langauge Processing (NLP) and Computer Vision (CV), such as text-to-image generation, image retervial system, video understanding and medical imaging.

🔎 What you can find in this organization?

You can find a list of the datastes, models and demos.

📃 Citation

@inproceedings{al2024araclip,
  title={AraCLIP: Cross-Lingual Learning for Effective Arabic Image Retrieval},
  author={Al-Barham, Muhammad and Afyouni, Imad and Almubarak, Khalid and Elnagar, Ashraf and Turky, Ayad and Hashem, Ibrahim},
  booktitle={Proceedings of The Second Arabic Natural Language Processing Conference},
  pages={102--110},
  year={2024}
}