  Visual Question Answering (VQA) is an emerging area of interest for
researches, being a recent problem in natural language processing and image
prediction. In this area, an algorithm needs to answer questions about certain
images. As of the writing of this survey, 25 recent studies were analyzed.
Besides, 6 datasets were analyzed and provided their link to download. In this
work, several recent pieces of research in this area were investigated and a
deeper analysis and comparison among them were provided, including results, the
state-of-the-art, common errors, and possible points of improvement for future
researchers.
