This paper introduces Arabic Contrastive Language-Image Pre-training (AraCLIP), a model designed for Arabic image retrieval tasks.

AraCLIP leverages Knowledge Distillation to transfer cross-modal knowledge from English to Arabic, enhancing its ability to understand Arabic text and retrieve ...

Co-authors ; AraCLIP: Cross-Lingual Learning for Effective Arabic Image Retrieval. M Al-Barham, I Afyouni, K Almubarak, A Elnagar, A Turky, I Hashem. Proceedings ...

This work creating the base for different directions in the connection between two fields, Natural Langauge Processing (NLP) and Computer Vision (CV).

Salima Mdhaffar. (11:45 - 12:00) - AraCLIP: Cross-Lingual Learning for Effective Arabic Image Retrieval Muhammad Al-Barham, Imad Afyouni, Khalid Almubarak ...

The expanded XTD-11 dataset, now including Arabic, enhances the original XTD collection. This dataset introduces a 1,000-image multi-lingual MSCOCO2014 caption ...

AraCLIP: Cross-Lingual Learning for Effective Arabic Image Retrieval. Muhammad Al-Barham, Imad Afyouni, Khalid Almubarak, Ashraf Elnagar, Ayad Turky. AREEj ...

1 day ago · AraCLIP: Cross-Lingual Learning for Effective Arabic Image Retrieval. 102-110. view. electronic edition @ aclanthology.org · no references ...

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This paper introduces a novel representation of Arabic text as an alternative approach for Arabic NLP, inspired by the dotless script of ancient Arabic. We ...