To date, query performance prediction (QPP) in the context of content-based image retrieval
remains a largely unexplored task, especially in the query-by-example scenario, where the …

Content-Based Image Retrieval (CBIR) systems are currently a widely used solution for
image retrieval tasks with various applications. Despite the advances achieved, one of the …

The revolutionary advances in image representation have led to impressive progress in
many image understanding-related tasks, primarily supported by Convolutional Neural …

In recent years, the amount of image data has increased exponentially, driven by
advancements in digital technologies. As the volume of data expands, the efforts required for …

The exponential growth of image collections has demanded a significant increase in the use
of machine learning and image retrieval applications across various scenarios. Despite the …

Graph convolutional networks (GCNs) provide a promising way to explore datasets that
have graph structures in nature. The presence of corrupted or incomplete graphs, however …

La prédiction de la performance des requêtes (QPP) dans le contexte de la recherche
d'images basée sur le contenu reste une tâche largement inexplorée, en particulier dans le …

This project presents the design and development of a Serious Game, that utilizes
Augmented Reality (AR) technologies, aimed to involve and engage students in Organic …

The revolutionary advances in image representation have led to impressive progress in
many image understandingrelated tasks, primarily supported by Convolutional Neural …