BVQA: Connecting Language and Vision Through Multimodal Attention for Open-Ended Question Answering

BVQA: Connecting Language and Vision Through Multimodal Attention for Open-Ended Question Answering

Visual Question Answering (VQA) is a challenging problem of Artificial Intelligence (AI) that requires an understanding of natural language and computer vision to respond to inquiries based on visual content within images. Research on VQA has gained immense traction due to its wide range of applicat...

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Bibliographic Details
Main Authors: Md. Shalha Mucha Bhuyan, Eftekhar Hossain, Khaleda Akhter Sathi, Md. Azad Hossain, M. Ali Akber Dewan
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Visual question answering
multimodal deep learning
large language model
natural language processing
multi-head attention mechanism
Online Access:https://ieeexplore.ieee.org/document/10878995/
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