ENVQA: Improving Visual Question Answering model by enriching the visual feature
National Institute Of Technology Silchar
Indexed incrossref
Abstract
No abstract available for this paper.
Citation impact
50
total citations
- FWCI
- 49.82
- Percentile
- 100%
- References
- 92
Citations per year
Authors
2Topics & keywords
Topics
Keywords
- Computer science
- Question answering
- Feature (linguistics)
- Information retrieval
- Artificial intelligence
- Natural language processing
- Human–computer interaction
No related works found for this paper.