Visual Question Answering: A Survey of Methods and Large Datasets ​

← Back to topic

Authors: Qing Li, Jianan Zhang, Jie Zhou, Lizhuang Ma, Qing Li
Year: 2017
Journal: Computer Vision and Image Understanding
DOI: 10.48550/arXiv.1607.05910
Publisher: https://arxiv.org/abs/1607.05910

Keywords: vqa, survey

Abstract ​

This paper surveys the state of the art in Visual Question Answering.

Cite this paper ​

@misc{vqaspatial2017,
  title  = {Visual Question Answering: A Survey of Methods and Large Datasets},
  author = {Qing Li, Jianan Zhang, Jie Zhou, Lizhuang Ma, Qing Li},
  year   = {2017},
  journal = {Computer Vision and Image Understanding},
  doi    = {10.48550/arXiv.1607.05910},
  url    = {https://doi.org/10.48550/arXiv.1607.05910},
}

Source files ​

• metadata.json
• paper.bib