# Recent, rapid advancement in visual question answering architecture: a review

Source: [Recent, rapid advancement in visual question answering architecture: a review](<https://www.sota2.com/research/paper/68fa6cf41e209131cea36cef>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-26T00:22:36.594Z

Authors: Venkat Kodali, Daniel Berleant

Published: 2022-03-02T03:39:53.000Z

## Abstract

Understanding visual question answering is going to be crucial for numerous human activities. However, it presents major challenges at the heart of the artificial intelligence endeavor. This paper presents an update on the rapid advancements in visual question answering using images that have occurred in the last couple of years. Tremendous growth in research on improving visual question answering system architecture has been published recently, showing the importance of multimodal architectures. Several points on the benefits of visual question answering are mentioned in the review paper by Manmadhan et al. (2020), on which the present article builds, including subsequent updates in the field.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2203.01322>)

[PDF](<https://arxiv.org/pdf/2203.01322.pdf>)