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Conference Paper
Comparative Evaluation of Visual Question Answering with Scene Graph Utilization
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- Issue Date
- 2024-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2024, pp.1980-1981
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- Integrating scene graphs enhances Visual Question Answering (VQA) systems' performance in dynamic and diverse real-world applications. This study examines the impact of scene graphs and external knowledge on VQA systems. Using the LLM-based model, LLaVA-v1.5, we trained and evaluated models with and without scene graphs. Additionally, we compared models trained solely with scene graphs to those trained with both scene graphs and external knowledge.
- KSP Keywords
- Comparative Evaluation, External knowledge, Real-world applications, Scene graph, Visual Question Answering