Exploring data-efficient multi-modal learning in computer vision

With the advancement of deep learning, significant progress has been made in various downstream applications, particularly in visual tasks. However, as task requirements diversify, single-modal approaches are no longer sufficient to address the demands of modern real-world applications. Consequently...

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Bibliographic Details
Main Author: Linglin Jing
Format: Default Thesis
Published: 2025
Subjects:
Online Access:https://dx.doi.org/10.26174/thesis.lboro.28944089.v1
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