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C-GQA

The C-GQA dataset is a large-scale dataset for compositional zero-shot learning, containing 413 attributes and 674 objects.

Data and Resources

Cite this as

Yongqin Xian, Tobias Lorenz, Bernt Schiele, Zeynep Akata (2024). Dataset: C-GQA. https://doi.org/10.57702/b19fan4l

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2311.05729
Citation
  • https://doi.org/10.48550/arXiv.2406.14962
Author Yongqin Xian
More Authors
Tobias Lorenz
Bernt Schiele
Zeynep Akata
Homepage https://arxiv.org/abs/1809.02792