Resource Efficient Semantic Retrieval Pipeline via Generative Captioning and Text-to-Text Transformers for Bridging the Modality Gap

The rapid expansion of multimodal digital content necessitates the development of robust information retrieval systems capable of bridging the semantic gap between visual and textual data. However, contemporary cross- modal models, such as CLIP, impose significant computational demands, rendering th...

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Autors principals:	Muhammad Firmansyah, Dhendra Marutho, Irwansyah Saputra, Eleni Vogiatzi
Format:	Artigo
Idioma:	Inglês
Publicat:	Universitas Muhammadiyah Semarang 2025-10-01
Col·lecció:	Journal of Intelligent Computing and Health Informatics
Matèries:	cross-modal retrieval generative captioning text-to-text transformers semantic distillation resource efficiency
Accés en línia:	https://jurnal.unimus.ac.id/index.php/ICHI/article/view/19240
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