Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy. Ging, S., Bravo, M. A., & Brox, T. In ICLR, 2024. OpenReview.net.
Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy. [link]Link  Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy. [link]Paper  bibtex   
@inproceedings{conf/iclr/GingBB24,
  added-at = {2024-07-29T00:00:00.000+0200},
  author = {Ging, Simon and Bravo, María Alejandra and Brox, Thomas},
  biburl = {https://www.bibsonomy.org/bibtex/240d95352a25454ac0d013302ddbe02db/dblp},
  booktitle = {ICLR},
  crossref = {conf/iclr/2024},
  ee = {https://openreview.net/forum?id=EXitynZhYn},
  interhash = {8dc285d39b1fb9a7ffdcc689d1d760bc},
  intrahash = {40d95352a25454ac0d013302ddbe02db},
  keywords = {dblp},
  publisher = {OpenReview.net},
  timestamp = {2024-08-05T07:27:27.000+0200},
  title = {Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy.},
  url = {http://dblp.uni-trier.de/db/conf/iclr/iclr2024.html#GingBB24},
  year = 2024
}

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