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
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
- FWCI
- 32.03
- Percentile
- 100%
- References
- 128
Authors
6Topics & keywords
- Computer science
- Question answering
- Mechanism (biology)
- Artificial intelligence
- Representation (politics)
- Modal
- Task (project management)
- Human–computer interaction
- Quality Education