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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Hlavní autoři:	Md. Shalha Mucha Bhuyan, Eftekhar Hossain, Khaleda Akhter Sathi, Md. Azad Hossain, M. Ali Akber Dewan
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Access
Témata:	Visual question answering multimodal deep learning large language model natural language processing multi-head attention mechanism
On-line přístup:	https://ieeexplore.ieee.org/document/10878995/
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

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

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