We discussed current visual question answering methods based on fusion techniques. •. We reviewed 20 existing VQA datasets and provide critical discussion.
Jul 20, 2016 · In the second part of this survey, we review the datasets available for training and evaluating VQA systems. The various datatsets contain ...
In this paper, we have discussed some of the core concepts used in VQA systems and present a comprehensive survey of efforts in the past to address this ...
In this paper, we have discussed some of the core concepts used in VQA systems and present a comprehensive survey of efforts in the past to address this ...
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Oct 1, 2021 · This work presents a survey in the domain of VQA that delves into the intricacies of V QA datasets and methods over the field's history, ...
Jun 1, 2018 · This paper fills the gap by surveying the state of the art approaches with a focus on deep learning models; comparing benchmark datasets in terms of their ...
Missing: question answering.
Visual Question Answering (VQA) is a multi-disciplinary research problem that has captured the attention of both computer vision as well as natural language ...
A survey of methods, datasets and evaluation metrics for visual question answering. https://doi.org/10.1016/j.imavis.2021.104327. Journal: Image and Vision ...
This approach has shown significantly better performance in visual question answering methods and is likely to improve video description accuracy.
We used three metrics to measure the performance of our methods: WUPS, Acc, and F1. ... We evaluate our model on two available visual question answering datasets ...