Title: Toward Robust Visual Question Answering

Visual Question Answering(VQA) is an important task within the field of Vision and Language. As a multi modal task, VQA holds its importance in research and scientific fields where it can be used to measure an AI model’s visual image and natural language understanding or aiding in diagnosing deep learning models. Beyond that, VQA holds its importance in the economic and social realm as it can aid the situationally and visually impaired. However, even with the current advances of deep learning, deployable VQA models are uncommon. In this seminar, we explore the issues of VQA in the perspective of robustness in the face of the limits of the real world applicability of VQA and study the task of VQA.