Browsing by Author "Nasri, nesrine"

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    Application of ensemble Learning in visual question-answering
    (University of M'sila, 2023-06-10) Khoudour, aya nor elhouda; Nasri, nesrine; Supervisor: Debbi, Hicham
    Visual Question Answering (VQA) is a field that combines two different techniques: computer vision and natural language processing. Computer vision is used to process the image or video, and NLP uses for the processing of natural language. VQA is a technology that automatically answers the question based on the context of images or videos. The VQA is one of the Vision-language tasks that require a high level of language and image understanding, making this a difficult and complex problem. In this dissertation, we explore and apply an ensemble of diverse VQA models combined with Weighted Average techniques to increase the accuracy.