Improving Visual Question Answering Via Rule- Guided Neuro-Symbolic Learning
Visual Question Answering (VQA) involves models combining reasoning through visual scenes and natural language questions and typically related to compositional and relational reasoning. Even though deep neural models have demonstrated high empirical results on VQA benchmarks, they are often based on implicit associatio...