reviewPeerJ Computer ScienceMay 30, 2023GOLD OA

The multi-modal fusion in visual question answering: a review of attention mechanisms

University of Electronic Science and Technology of China · Wenzhou University · +3 more institutions

PubMed
Indexed incrossrefdoajpubmed

Abstract

Visual Question Answering (VQA) is a significant cross-disciplinary issue in the fields of computer vision and natural language processing that requires a computer to output a natural language answer based on pictures and questions posed based on the pictures. This requires simultaneous processing of multimodal fusion of text features and visual features, and the key task that can ensure its success is the attention mechanism. Bringing in attention mechanisms makes it better to integrate text features and image features into a compact multi-modal representation. Therefore, it is necessary to clarify the development status of attention mechanism, understand the most advanced attention mechanism methods, and…

Citation impact

468
total citations
FWCI
32.03
Percentile
100%
References
128
Citations per year

Authors

6

Topics & keywords

Keywords
  • Computer science
  • Question answering
  • Mechanism (biology)
  • Artificial intelligence
  • Representation (politics)
  • Modal
  • Task (project management)
  • Human–computer interaction
UN Sustainable Development Goals
  • Quality Education
No related works found for this paper.