Image question and answering

Abstract

In the past few years, Question Answering on Images has achieved a lot of attention from researchers. It is a must-researched topic, since it covers both the domain of Computer Vision and Natural Language Processing. Recent Advances have found out that it also covers Knowledge Representation and Reasoning. Datasets for Image Question Answering have been created since 2014, but all have their own drawbacks, since implementing it with different methods, one can get different accuracy. I have studied and analyzed different approaches made to solve the problem, and which technique is more efficient on a given datasets. Different datasets contains different type of question pairs and images. We have also analyzed about the different types of datasets used, and based on that also analyze which one is better and gives better results, and also see what future work is possible and how datasets as well as methods can be improved in the future.