Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding

IEEE transactions on neural networks and learning systems, 2020.

Cited by: 0|Bibtex|Views31|DOI:https://doi.org/10.1109/TNNLS.2020.3045034
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Other Links: arxiv.org|pubmed.ncbi.nlm.nih.gov|academic.microsoft.com

Abstract:

Though beneficial for encouraging the visual question answering (VQA) models to discover the underlying knowledge by exploiting the input-output correlation beyond image and text contexts, the existing knowledge VQA data sets are mostly annotated in a crowdsource way, e.g., collecting questions and external reasons from different users vi...More

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