ViQuAE, a Dataset for Knowledge-Based Visual Question Answering about Named Entities. Lerner, P., Ferret, O., Guinaudeau, C., Le Borgne, H., Besançon, R., Moreno, J. G., & Lovón Melgarejo, J. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, of SIGIR '22, pages 3108–3120, New York, NY, USA, 2022. Association for Computing Machinery.
ViQuAE, a Dataset for Knowledge-Based Visual Question Answering about Named Entities [link]Paper  ViQuAE, a Dataset for Knowledge-Based Visual Question Answering about Named Entities [link]Hal  ViQuAE, a Dataset for Knowledge-Based Visual Question Answering about Named Entities [link]Code  doi  bibtex   
@inproceedings{lerner2022viquae,
  author    = {Lerner, Paul and Ferret, Olivier and Guinaudeau, Camille and {Le Borgne}, Herv\'{e} and Besan\c{c}on, Romaric and Moreno, Jose G. and Lov\'{o}n Melgarejo, Jes\'{u}s},
  title     = {ViQuAE, a Dataset for Knowledge-Based Visual Question Answering about Named Entities},
  year      = {2022},
  isbn      = {9781450387323},
  publisher = {Association for Computing Machinery},
  address   = {New York, NY, USA},
  url       = {https://doi.org/10.1145/3477495.3531753},
  doi       = {10.1145/3477495.3531753},
  booktitle = {Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval},
  pages     = {3108–3120},
  numpages  = {13},
  location  = {Madrid, Spain},
  series    = {SIGIR '22},
  url_HAL   = {https://universite-paris-saclay.hal.science/hal-03650618/document},
  url_Code  = {https://github.com/PaulLerner/ViQuAE},
  keywords  = {conf-int,kvqae}
}

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