LowCLIP: Adapting the CLIP Model Architecture for Low-Resource Languages in Multimodal Image Retrieval Task

This research explores the development of multimodal vision-language models for image retrieval in low-resource languages, specifically Azerbaijani. Existing vision-language models primarily support high-resource languages, and fine-tuning them remains computationally demanding. To address challenge...

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Veröffentlicht in:	arXiv.org 2024-08
Hauptverfasser:	Asgarov, Ali, Rustamov, Samir
Format:	Artikel
Sprache:	eng
Schlagworte:	Coders Data augmentation Image retrieval Languages Machine translation Retrieval Synthetic data
Online-Zugang:	Volltext
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