KVQA (Knowledge-aware VQA)
Introduced by Shah et al. in KVQA: Knowledge-Aware Visual Question Answering
It contains manually verified 183K question-answer pairs about more than 18K persons and 24K images. The questions in this dataset require multi-entity, multi-relation and multi-hop reasoning over KG to arrive at an answer. To enable visual named entity linking, it also provides a support set containing reference images of 69K persons harvested from Wikidata as part of the dataset.
Papers
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