Cross-modal image-text retrieval for real-world applications: advancing learning, evaluation, and benchmarking methodologies

Cross-modal retrieval between images and text is central to applications such as e-commerce search, recommendation systems, and multimedia organisation. Despite the continuous growth of noisy digital content, most image-text retrieval models rely on perfectly paired training data and are evaluated o...

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Bibliographic Details
Main Author: Mikel Williams Lekuona
Format: Default Thesis
Published: 2025
Subjects:
Information retrieval
Image-text retrieval
Cross modal
Computer vision
Natural language processing
Online Access:https://dx.doi.org/10.26174/thesis.lboro.30200368.v1
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