A Multimodal Contrastive Network with Unbiased Distillation for Knowledge-based VQA
Author:
Affiliation:
1. Guangdong University of Technology,School of Computer Science,China
2. Guangdong University of Foreign Studies,School of Cyber Security,China
3. Lingnan University,Department of Computing and Decision Sciences,Hong Kong,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10649807/10649898/10650444.pdf?arnumber=10650444
Reference39 articles.
1. VQA: Visual Question Answering
2. Reasoning over vision and language: Exploring the benefits of supplemental knowledge;Shevchenko;Beyond Vision and Language: intergrating Real-world knowledge,2021
3. A Unified End-to-End Retriever-Reader Framework for Knowledge-based VQA
4. Image captioning for effective use of language models in knowledge-based visual question answering
5. MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering
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