MGA-VQA: Multi-Granularity Alignment for Visual Question Answering.
Peixi XiongYilin ShenHongxia JinPublished in: CoRR (2022)
Keyphrases
- question answering
- multi granularity
- multi user
- dynamic integration
- natural language
- information retrieval
- visual information
- natural language processing
- named entities
- natural language questions
- cross language
- visual features
- passage retrieval
- question answering systems
- syntactic information
- information extraction
- qa clef
- privacy protection
- question classification
- location aware
- video database
- artificial intelligence
- answer validation
- visual data
- semantic roles
- databases
- data analysis
- database systems
- data mining