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September 10, 2025ITM Web of ConferencesOpen Access

The System of Visual Question Answering: Based on The Architectural Perspective

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Authors

KWKuangming WanJinan University

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Implication

Analysis of VQA model architecture and its effectiveness in merging visual and verbal information.

Key Points

  • Visual question answering aims to merge visual and verbal information to correctly respond to image-based queries.
  • VQA architecture consists of components like visual encoder, language encoder, multimodal fusion, and answer decoder.
  • Research presents a detailed classification of various VQA model architectures based on extensive literature studies.
  • Future challenges in VQA involve improving model architecture and addressing existing problems within the field.

Cite This Study

Kuangming Wan (2025) studied this question.

synapsesocial.com/papers/68c198c59b7b07f3a061aa33https://doi.org/10.1051/itmconf/20257804005
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