Explanatory Visual Question Answering
3 papers with code • 1 benchmarks • 1 datasets
Explanatory Visual Question Answering (EVQA) requires answering visual questions and generating multimodal explanations for the reasoning processes.
GQA-REX
Most implemented papers
Faithful Multimodal Explanation for Visual Question Answering
explainableml/clevr-x
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WS 2019
AI systems' ability to explain their reasoning is critical to their utility and trustworthiness.
REX: Reasoning-aware and Grounded Explanation
Finally, with our new data and method, we perform extensive analyses to study the effectiveness of our explanation under different settings, including multi-task learning and transfer learning.
Variational Causal Inference Network for Explanatory Visual Question Answering
LivXue/VCIN
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ICCV 2023
To address these issues, we propose a Variational Causal Inference Network (VCIN) that establishes the causal correlation between predicted answers and explanations, and captures cross-modal relationships to generate rational explanations.
