C-GQA (Compositional GQA)
Introduced by Naeem et al. in Learning Graph Embeddings for Compositional Zero-shot Learning
We propose a split built on top of Stanford GQA dataset originally proposed for VQA and name it Compositional GQA (C-GQA) dataset (see supplementary for the details). CGQA contains over 9.5k compositional labels making it the most extensive dataset for CZSL. With cleaner labels and a larger label space, our hope is that this dataset will inspire further research on the topic.
Papers
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