Dataset Groups Activity Stream C-GQA The C-GQA dataset is a large-scale dataset for compositional zero-shot learning, containing 413 attributes and 674 objects. BibTex: @dataset{Yongqin_Xian_and_Tobias_Lorenz_and_Bernt_Schiele_and_Zeynep_Akata_2024, abstract = {The C-GQA dataset is a large-scale dataset for compositional zero-shot learning, containing 413 attributes and 674 objects.}, author = {Yongqin Xian and Tobias Lorenz and Bernt Schiele and Zeynep Akata}, doi = {10.57702/b19fan4l}, institution = {No Organization}, keyword = {'C-GQA', 'Feature Generation', 'Zero-Shot Learning', 'attributes', 'compositional zero-shot learning', 'large-scale', 'objects'}, month = {dec}, publisher = {TIB}, title = {C-GQA}, url = {https://service.tib.eu/ldmservice/dataset/c-gqa}, year = {2024} }
