Papers with Spatio-Temporal Video Question Answering

1 papers
TVQA+: Spatio-Temporal Grounding for Video Question Answering (2020.acl-main)

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Challenge: Existing video QA datasets only contain QA pairs without labels for key clips or regions needed to answer the question.
Approach: They propose a framework that grounds evidence in both spatial and temporal domains to answer questions about videos using bounding boxes.
Outcome: The proposed framework can produce interpretable spatio-temporal attention visualizations.

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